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Hi, and welcome to the Neil Ashton

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podcast. In each episode, we explain

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some of the fascinating ways that

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science and engineering are changing the

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world around us.

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We talk to leading engineers from elite

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level sports like cycling and Formula 1

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to some of the world's top academics to

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understand how fluid dynamics, machine

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learning, supercomputing are bringing in

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a new era of discovery.

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We also hear some of their life stories,

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their career advice,

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and lessons they've learned on the way

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that I hope will be helpful to you, too.

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So, sit back and enjoy this episode.

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Welcome back to the Neil Ashton podcast.

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Today's episode is with Chris Rumsey,

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who is a research scientist at NASA

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Langley Research Center.

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This is another one of these episodes

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that is going to get quite focused into

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computational fluid dynamics and

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turbulence modelling. So, um

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I'm hoping if you're interested in that,

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this is, you know, great for you and

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diving into a topic and speaking to

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somebody who I think is,

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you know, has played a key role in this

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industry and this community. Um but, uh

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just just a caveat that if you are maybe

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outside of CFD and you've been watching

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or listening to some of the episodes on

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Formula 1 or cycling,

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uh just be prepared this does get quite

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deep. So, I just put that as a warning

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out there. Um

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a quick thing as well I should say if

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you're listening to this podcast, there

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is also a YouTube version where we have

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the full video.

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Just type Neil Ashton podcast. Uh but,

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equally if you're watching this on

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YouTube right now, and actually

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sometimes you prefer just to listen to a

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podcast, it's also available on uh

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Spotify and Apple. And uh

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thanks to those who have already

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listening. I I can't believe there's

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over now 15,000 subscribers on YouTube,

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which

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yeah, I thought it'd be, you know, five

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people and a few of their mates. So, I'm

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pleased that at least some people are

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finding this interesting, but yeah, so

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if you do like this, I hate saying this

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thing, but I'm told I should say it, the

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whole like and subscribe, just because

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then if a new episode comes out, you

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you know about it.

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So,

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today's thing is, like I said, about

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Chris Rumsey from from NASA. Um

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I have to say that

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I have a personal

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I I just I really like Chris as an

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individual, and I hope many other people

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who know him will agree with me, and and

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after watching this, you'll also agree

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if you didn't know him before, because

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he's just such a nice guy. He's just

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such a pleasure

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to talk to. He has

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no ego, he's very modest, he he

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but he has so much awareness, and and we

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discussed many of the things that he's

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he's done.

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He's created and shared so much like his

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his role of sort of public

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dissemination, the papers he's written,

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the websites he looked after, the

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workshop he's done, so many of these

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things that I genuinely think have had a

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huge impact on every person out there

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who develops a method, a code. And this

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is particularly true in the aeronautical

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sphere and things like drag prediction

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or high-lift prediction

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of aircraft, Chris has really played a

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huge role.

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But what the one of the some of the

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things that I found interesting and that

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we get into is um

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I didn't know Chris was an artist. So,

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we talk a little bit about some of his

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early passions for that, how that he he

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actually interviewed for the CIA. Again,

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I had no clue about that. But I guess

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the conversation is split into two.

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The first half is a little bit about his

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career, how he got into CFD,

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some of the early days at Langley.

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Talking a little bit about the

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turbulence modelling website that he was

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one of the the founders for. And if you

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look in the um the caption notes or the

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the show notes, there's a link to that

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website if you're not aware. It

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basically lists almost every single

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turbulence model

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that CFD has so that you can implement

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it and you can verify that you've

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implemented it correctly and then you

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can validate it against some test cases.

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This is

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widely used as he said as you know more

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than 40,000 visitors a month because it

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is one of the central places um for for

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these models. And that's not just

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low-speed aerodynamics. Almost anybody

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who's doing any turbulence modelling um

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quite often goes to this website to find

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the formulation and the papers.

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Um and if you're writing a new code, uh

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I mean hundreds or thousands of papers

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reference this site to verify that

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they've implemented the model correctly.

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So we talk about some of the origins of

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that. Um we talk about the high-lift

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prediction workshop which um is a

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workshop that's trying to advance the

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state of the art for high-lift

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aerodynamics. Uh again, I'll put a link

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in the in the chat. Um and we talk about

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how how some of those came about, some

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of his thoughts on the role of machine

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learning for CFD and for turbulence

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modelling. Again, something that he's

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been part of uh arranging with other

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symposiums and and workshops to try and

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explore this place. Um we also um get

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into some discussion of certification by

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analysis uh and some of the challenges

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of machine learning applied to that, uh

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how reproducibility, etc.

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Um and then we shift a little bit

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because one of the things I

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wanted people listening to this to get a

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feel of is

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uh what is it what is it like to work at

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NASA? What was that journey like? Um

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I'm always jealous of people who work

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for NASA. It was a dream of mine to to

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work for NASA. And even though I did

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spend a little bit of time there, I was

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you know, never a civil servant like

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like Chris is. So we dive a little bit

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into how he got in, how other people,

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the differences in the roles,

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and then maybe a few more light-hearted

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things around

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some of the conferences that he the most

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memorable times he's had at conferences

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and events that he's done. And then a

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little bit of discussion at the end

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around

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whether it's best to pursue your hobby

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as a job or do your job and have a hobby

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afterwards. So, hopefully an interesting

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explanation or exploration of someone

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who I think has made it a really key

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role for CFD. And and just someone, like

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I said, it's just such a a lovely and

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nice individual that I hope um

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if you haven't met him, that you have

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the opportunity to meet him because he's

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just a pleasure to speak to. So, yeah,

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please sit back and enjoy this episode

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with Chris Rumsey.

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I I think most people have a dream.

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At least I did.

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Of working for NASA. It's sort of like

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when you're growing up, there's this

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certainly doesn't almost matter what

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country you grow up in. You know, you

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you think about NASA. You actually do

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work for NASA.

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So, did you always actually want to work

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for NASA? Was that sort of a childhood

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dream?

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No, not not really.

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When I was in

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in college at

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Rensselaer Polytechnic Institute, RPI,

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they just had interviews and I actually

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interviewed for the CIA. And then I

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interviewed

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interviewed for NASA.

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And it just it just struck me at the

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time that it would be

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a good place to work and it sounded cool

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then, but I hadn't thought of it before

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before that time. Just that they had an

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opening and

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and it sounded really interesting.

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Okay, I need to back up there cuz

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I wasn't expecting that answer.

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Is that because of where you

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were living? I mean, was this

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When you said the CIA or NASA, they're

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quite different things. Were these

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graduate programs essentially or

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No, it was just at the time they just

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had

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the school had job fairs and

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it was just random companies would come

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in, you know, all from all over and and

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you just signed up for the ones that you

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were potentially interested in and just

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had

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It was almost like practice interviews

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where you could could talk and not you

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know, not worry so much about it because

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you were just kind of trying to get a

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feel for what was out there and

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and I just remember those two.

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Did you ever think what would happen if

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you'd gone down the other route, I

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guess?

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I'd be a spy, I think. Well, we wouldn't

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be having this conversation, that's for

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sure. That's right, yeah.

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Um but hold on, so you What did you

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study then in university? What? I went

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into aeronautical engineering. So I

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started I I went directly from

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directly into the aero aeronautical

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engineering program.

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And so I was always interested in in

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aeronautics and aeronautical engineering

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and

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mathematics, that type of thing. But the

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the aero

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appealed to me I guess because of uh

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airplanes and space, I've always

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just found them fascinating that they

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even work. So, you know, when I was a

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kid it was like, "Wow, look at look at

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that thing. How's that even working?"

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So, just always always fascinated me and

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and interested me. So, just wanted to

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get into that field.

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And did you Were you the sort of child

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who was very

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like obsessed with planes and fighter

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jets and all that or were you more just

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yeah? Yeah, not not really. Actually, I

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was more into um

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art and artistic things. I was In fact,

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I

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almost went that direction instead of

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engineering

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because I was

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good at art, good at drawing and

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painting and things like that.

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But um, teachers convinced me that it

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would be better to go into something

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more lucrative

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and

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that where you have a definite type of

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income and then

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keep the art for a hobby or something to

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do on the side

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uh or or to do when you retire type of

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thing. But, that's also partly why I was

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interested in in aeronautics because of

277
00:09:56,640 --> 00:09:58,520
the sleekness of the airplanes and how

278
00:09:58,520 --> 00:10:00,880
they were shaped and

279
00:10:00,880 --> 00:10:02,800
the design aspect of it was was

280
00:10:02,800 --> 00:10:04,200
fascinating.

281
00:10:04,200 --> 00:10:06,800
interesting. So, Oh, so I see behind

282
00:10:06,800 --> 00:10:08,640
you. Are these some of your works that

283
00:10:08,640 --> 00:10:11,320
you Oh, yeah. have that that one

284
00:10:11,320 --> 00:10:12,080
uh

285
00:10:12,080 --> 00:10:13,560
uh went to yeah, those are mine. Yeah.

286
00:10:13,560 --> 00:10:14,760
Mhm.

287
00:10:14,760 --> 00:10:17,080
But, see, you said before we started,

288
00:10:17,080 --> 00:10:18,360
"Oh, I've got nothing interesting." I'm

289
00:10:18,360 --> 00:10:21,400
already this is something I did not

290
00:10:21,400 --> 00:10:22,680
know at all. Okay, that's interesting.

291
00:10:22,680 --> 00:10:25,040
So, you were always Did Were you tempted

292
00:10:25,040 --> 00:10:26,720
to go into architecture then at all that

293
00:10:26,720 --> 00:10:29,040
side or was it more the drawing like uh

294
00:10:29,040 --> 00:10:32,040
proper art like Yeah, maybe a little bit

295
00:10:32,040 --> 00:10:32,640
um

296
00:10:32,640 --> 00:10:34,280
the architecture I

297
00:10:34,280 --> 00:10:35,920
um

298
00:10:35,920 --> 00:10:37,640
Yeah, it doesn't move though. So, maybe

299
00:10:37,640 --> 00:10:39,400
it wasn't quite as interesting me to be

300
00:10:39,400 --> 00:10:41,320
from that perspective. A- And actually,

301
00:10:41,320 --> 00:10:42,960
when when I was when I was at RPI, they

302
00:10:42,960 --> 00:10:44,920
had an architecture program and some of

303
00:10:44,920 --> 00:10:48,240
my roommate one of my roommates was a in

304
00:10:48,240 --> 00:10:50,600
that. And it sa- he was just miserable.

305
00:10:50,600 --> 00:10:52,440
It was awful because

306
00:10:52,440 --> 00:10:54,280
the mathematics part of it, you know,

307
00:10:54,280 --> 00:10:55,400
was always very definite. You're either

308
00:10:55,400 --> 00:10:57,120
right or you're wrong. But, the art part

309
00:10:57,120 --> 00:10:59,320
of it is very subjective. And if you

310
00:10:59,320 --> 00:11:01,680
happen to have a teacher who is just

311
00:11:01,680 --> 00:11:03,240
doesn't like you for some reason, he can

312
00:11:03,240 --> 00:11:05,200
just say, "I don't like that because

313
00:11:05,200 --> 00:11:06,839
it's not good." And it And it's very

314
00:11:06,839 --> 00:11:09,360
subjective. So, he he was driven crazy

315
00:11:09,360 --> 00:11:10,520
by that.

316
00:11:10,520 --> 00:11:12,200
So, you did

317
00:11:12,200 --> 00:11:15,440
your um undergraduate, but then you went

318
00:11:15,440 --> 00:11:18,040
on to do a PhD. Is that correct? W-

319
00:11:18,040 --> 00:11:20,720
Yeah, at RPI, I stayed at RPI for the

320
00:11:20,720 --> 00:11:23,520
undergraduate and a master's. Did those

321
00:11:23,520 --> 00:11:25,440
kind of together. Okay.

322
00:11:25,440 --> 00:11:27,000
Yeah. So, it went fairly quickly and

323
00:11:27,000 --> 00:11:30,000
then came to uh NASA.

324
00:11:30,000 --> 00:11:32,480
And then I got my PhD through NASA. NASA

325
00:11:32,480 --> 00:11:34,440
has a has a nice program. Well, they

326
00:11:34,440 --> 00:11:35,760
they will

327
00:11:35,760 --> 00:11:38,080
pay for you to get your degree,

328
00:11:38,080 --> 00:11:39,880
you know, because it benefits them to

329
00:11:39,880 --> 00:11:41,360
have someone who's

330
00:11:41,360 --> 00:11:42,960
smarter working for them.

331
00:11:42,960 --> 00:11:45,480
Okay. So, what did you do your PhD in

332
00:11:45,480 --> 00:11:48,160
then? What was the um It It was in uh

333
00:11:48,160 --> 00:11:49,920
aeronautical or aerospace engineering.

334
00:11:49,920 --> 00:11:52,000
It It was at the University of Michigan,

335
00:11:52,000 --> 00:11:54,440
and it was numerical methods

336
00:11:54,440 --> 00:11:56,520
uh under Bram van Leer.

337
00:11:56,520 --> 00:11:58,800
And that was uh he was my advisor.

338
00:11:58,800 --> 00:12:00,680
Okay. And that connection came about

339
00:12:00,680 --> 00:12:02,720
because of NASA, because

340
00:12:02,720 --> 00:12:05,600
at NASA we had the ICASE program. I

341
00:12:05,600 --> 00:12:07,680
don't know if you've heard of that.

342
00:12:07,680 --> 00:12:09,960
But it's it's a it's a it was a a really

343
00:12:09,960 --> 00:12:12,760
nice institute, kind of like the uh

344
00:12:12,760 --> 00:12:14,320
there are other institutes like this

345
00:12:14,320 --> 00:12:16,440
elsewhere. Um

346
00:12:16,440 --> 00:12:18,960
ICASE, what does it stand for? I don't

347
00:12:18,960 --> 00:12:21,320
remember what it even stands for. It's

348
00:12:21,320 --> 00:12:22,800
not around anymore.

349
00:12:22,800 --> 00:12:24,800
But it was a a small institute that was

350
00:12:24,800 --> 00:12:27,120
independently run within NASA, and it

351
00:12:27,120 --> 00:12:29,320
was actually housed in the building

352
00:12:29,320 --> 00:12:31,880
where my branch was located.

353
00:12:31,880 --> 00:12:33,480
And it would bring in mostly in the

354
00:12:33,480 --> 00:12:36,040
summers bring in all these professors

355
00:12:36,040 --> 00:12:37,920
from all over the world, Bram van Leer,

356
00:12:37,920 --> 00:12:40,680
Phil Roe, I mean, all these all these

357
00:12:40,680 --> 00:12:43,800
really uh great CFD guys. Mhm. And

358
00:12:43,800 --> 00:12:46,360
turbulence folks as well. Uh to to come

359
00:12:46,360 --> 00:12:48,080
and work um

360
00:12:48,080 --> 00:12:50,480
uh for the summer or or other times. And

361
00:12:50,480 --> 00:12:51,400
they would also bring in young

362
00:12:51,400 --> 00:12:53,560
undergraduates and uh

363
00:12:53,560 --> 00:12:55,040
build up

364
00:12:55,040 --> 00:12:57,080
the science that that way.

365
00:12:57,080 --> 00:12:58,680
And so, being housed with them, you

366
00:12:58,680 --> 00:12:59,960
know, we got to know all these folks.

367
00:12:59,960 --> 00:13:02,360
And it was really a a great

368
00:13:02,360 --> 00:13:03,960
relationship. And because of that is

369
00:13:03,960 --> 00:13:05,280
what why

370
00:13:05,280 --> 00:13:08,360
then work for Bram for the PhD.

371
00:13:08,360 --> 00:13:11,280
Ah, okay. But did you Did you always

372
00:13:11,280 --> 00:13:13,520
want to go into the more

373
00:13:13,520 --> 00:13:15,760
uh CFD side rather than wind tunnel

374
00:13:15,760 --> 00:13:17,600
testing? Was Was there a reason for

375
00:13:17,600 --> 00:13:19,760
going in, or was it just that was the

376
00:13:19,760 --> 00:13:22,720
choice of PhD that was available?

377
00:13:22,720 --> 00:13:25,240
Well, the branch that I joined was a it

378
00:13:25,240 --> 00:13:27,800
was a This was the time when CFD was

379
00:13:27,800 --> 00:13:29,720
kind of getting

380
00:13:29,720 --> 00:13:31,720
started. So, it was a new branch that

381
00:13:31,720 --> 00:13:34,160
had just uh gotten underway maybe a year

382
00:13:34,160 --> 00:13:35,640
or two previous.

383
00:13:35,640 --> 00:13:36,720
And I was

384
00:13:36,720 --> 00:13:39,200
hired into that branch uh

385
00:13:39,200 --> 00:13:41,240
despite knowing very little about

386
00:13:41,240 --> 00:13:43,360
numerical methods at the you know, from

387
00:13:43,360 --> 00:13:44,520
my uh

388
00:13:44,520 --> 00:13:45,880
from my

389
00:13:45,880 --> 00:13:46,560
uh

390
00:13:46,560 --> 00:13:48,680
undergraduate and and master's work. I

391
00:13:48,680 --> 00:13:51,160
didn't do that much with with com- with

392
00:13:51,160 --> 00:13:53,560
computer science. But, the branch was

393
00:13:53,560 --> 00:13:54,840
all numerical methods. In fact, when I

394
00:13:54,840 --> 00:13:56,680
first got there, one of the first things

395
00:13:56,680 --> 00:13:59,120
they do is they sit you down

396
00:13:59,120 --> 00:14:01,240
and and they Each person in the branch

397
00:14:01,240 --> 00:14:02,440
who was already there would talk to you

398
00:14:02,440 --> 00:14:03,840
about what they did. And I just remember

399
00:14:03,840 --> 00:14:05,240
sitting there going,

400
00:14:05,240 --> 00:14:06,680
"What the heck? I didn't even know I

401
00:14:06,680 --> 00:14:08,520
didn't know what a vortex was." I mean,

402
00:14:08,520 --> 00:14:10,000
they they were just talking like

403
00:14:10,000 --> 00:14:12,400
gibberish. So, I was

404
00:14:12,400 --> 00:14:14,240
brought in and really trained on the job

405
00:14:14,240 --> 00:14:17,320
to to do the the numerical methods.

406
00:14:17,320 --> 00:14:20,200
Wow. So, what was the state that's This

407
00:14:20,200 --> 00:14:22,160
is NASA Langley. It was NASA Langley,

408
00:14:22,160 --> 00:14:22,920
yeah.

409
00:14:22,920 --> 00:14:24,720
I And so, what was the

410
00:14:24,720 --> 00:14:25,880
um

411
00:14:25,880 --> 00:14:27,400
What was it like at that stage? Was

412
00:14:27,400 --> 00:14:29,240
there any major projects going on at

413
00:14:29,240 --> 00:14:32,280
that time? I mean, the space shuttle Am

414
00:14:32,280 --> 00:14:33,720
I getting the dates wrong now? When

415
00:14:33,720 --> 00:14:36,320
would that have been? I'm sure that that

416
00:14:36,320 --> 00:14:38,600
was going on, but we weren't at least to

417
00:14:38,600 --> 00:14:39,839
my knowledge that involved in that. It

418
00:14:39,839 --> 00:14:42,360
was more uh fundamental development of

419
00:14:42,360 --> 00:14:47,800
the of CFD codes for doing um

420
00:14:47,800 --> 00:14:49,560
analyzing wings, you know, starting out

421
00:14:49,560 --> 00:14:52,640
with the Euler and then moving fairly

422
00:14:52,640 --> 00:14:54,240
quickly after I got there into the

423
00:14:54,240 --> 00:14:57,720
Navier–Stokes and and started up these

424
00:14:57,720 --> 00:14:58,920
codes. I don't know if you remember any

425
00:14:58,920 --> 00:14:59,839
of the names of the codes, you know,

426
00:14:59,839 --> 00:15:03,120
CFL3D and TLNS3D. They were very old

427
00:15:03,120 --> 00:15:04,560
codes that were

428
00:15:04,560 --> 00:15:06,960
uh and and worked with uh you know, Tony

429
00:15:06,960 --> 00:15:09,960
Jameson was someone involved too, or he

430
00:15:09,960 --> 00:15:13,360
was in in the same cadre of

431
00:15:13,360 --> 00:15:15,080
of folks that that

432
00:15:15,080 --> 00:15:17,400
that came to ICASE. And so, everyone was

433
00:15:17,400 --> 00:15:20,320
working on the same um

434
00:15:20,320 --> 00:15:22,120
uh in the same area trying to build up

435
00:15:22,120 --> 00:15:24,840
the the CFD methods. When did you start

436
00:15:24,840 --> 00:15:27,000
to transition more into turbulence

437
00:15:27,000 --> 00:15:29,440
modelling compared to pure numerical

438
00:15:29,440 --> 00:15:31,080
methods? Was there a sort of turning

439
00:15:31,080 --> 00:15:32,640
point when that happened or particular

440
00:15:32,640 --> 00:15:34,840
project? Yeah, it was kind of a gradual

441
00:15:34,840 --> 00:15:38,600
shift toward that. Uh, part of it was

442
00:15:38,600 --> 00:15:40,400
that we had, um,

443
00:15:40,400 --> 00:15:41,560
some

444
00:15:41,560 --> 00:15:43,360
to turbulence, you know, the turbulence

445
00:15:43,360 --> 00:15:46,040
work was going on at ICASE and then, uh,

446
00:15:46,040 --> 00:15:47,800
we had some folks in the branch who who

447
00:15:47,800 --> 00:15:50,040
were more turbulence modelers and I just

448
00:15:50,040 --> 00:15:52,040
started to work with them

449
00:15:52,040 --> 00:15:53,000
uh,

450
00:15:53,000 --> 00:15:54,400
a little over time and and of course our

451
00:15:54,400 --> 00:15:56,840
codes, starting out with just

452
00:15:56,840 --> 00:15:57,960
laminar Navier–Stokes, but then we

453
00:15:57,960 --> 00:15:59,520
needed turbulence models, so we put in

454
00:15:59,520 --> 00:16:01,800
this the Cebeci-Smith and the

455
00:16:01,800 --> 00:16:03,920
Baldwin-Lomax. And then, of course, in

456
00:16:03,920 --> 00:16:05,480
the early '90s,

457
00:16:05,480 --> 00:16:08,240
uh, Philippe Spalart and, uh, Florian

458
00:16:08,240 --> 00:16:09,800
Menter, who who you've interviewed

459
00:16:09,800 --> 00:16:11,960
already here, their models came out and

460
00:16:11,960 --> 00:16:13,680
and we worked with them to put them in

461
00:16:13,680 --> 00:16:15,720
our codes as well. And then that it just

462
00:16:15,720 --> 00:16:17,640
kind of built from there.

463
00:16:17,640 --> 00:16:19,720
Yeah, what was I was trying to when I

464
00:16:19,720 --> 00:16:21,560
was asking Florian about that, what was

465
00:16:21,560 --> 00:16:24,480
it like that time? Because looking back,

466
00:16:24,480 --> 00:16:26,560
it seems like that must have been this

467
00:16:26,560 --> 00:16:28,240
really,

468
00:16:28,240 --> 00:16:30,120
you know, fast-paced development all

469
00:16:30,120 --> 00:16:31,839
these models. Did it feel like that or

470
00:16:31,839 --> 00:16:33,280
at the time did it

471
00:16:33,280 --> 00:16:35,120
did it not? Do you know what I mean? Did

472
00:16:35,120 --> 00:16:38,000
it feel like you were onto something

473
00:16:38,000 --> 00:16:40,160
momentous with these new models coming

474
00:16:40,160 --> 00:16:42,120
in that gave better accuracy than before

475
00:16:42,120 --> 00:16:45,760
or was it Did it just feel like a normal

476
00:16:45,760 --> 00:16:47,800
No, I don't think it felt normal. It was

477
00:16:47,800 --> 00:16:50,560
It was I think we we we saw this as as

478
00:16:50,560 --> 00:16:53,120
major developments. I mean, Mhm. uh,

479
00:16:53,120 --> 00:16:54,280
because with the ones we were working

480
00:16:54,280 --> 00:16:56,920
with before were just, um,

481
00:16:56,920 --> 00:16:57,600
uh,

482
00:16:57,600 --> 00:17:00,520
I don't know. So, so, um, touchy and,

483
00:17:00,520 --> 00:17:02,200
um, I don't know what the word is, but,

484
00:17:02,200 --> 00:17:05,000
ad hoc ad hoc, yeah. And then to have

485
00:17:05,000 --> 00:17:06,400
these, uh,

486
00:17:06,400 --> 00:17:08,920
well actually the even before Philippe

487
00:17:08,920 --> 00:17:10,160
Spalart's,

488
00:17:10,160 --> 00:17:12,079
uh, model, there was the Johnson-King

489
00:17:12,079 --> 00:17:14,319
model, you know, and that that one I

490
00:17:14,319 --> 00:17:16,480
spent a lot of time working with Dennis

491
00:17:16,480 --> 00:17:18,640
Johnson and NASA Ames to put that in our

492
00:17:18,640 --> 00:17:19,680
code.

493
00:17:19,680 --> 00:17:21,920
And and that was a very difficult model

494
00:17:21,920 --> 00:17:24,240
to to implement.

495
00:17:24,240 --> 00:17:25,280
I'd say

496
00:17:25,280 --> 00:17:26,839
in fact if we had to do verification on

497
00:17:26,839 --> 00:17:28,600
that model now, I think most codes would

498
00:17:28,600 --> 00:17:30,040
all be giving different answers cuz it

499
00:17:30,040 --> 00:17:30,960
was

500
00:17:30,960 --> 00:17:32,920
you know, searching along lines to find

501
00:17:32,920 --> 00:17:34,520
thing I don't know. It's just

502
00:17:34,520 --> 00:17:36,160
not very easy.

503
00:17:36,160 --> 00:17:37,920
Mhm. And in fact it was kind of a funny

504
00:17:37,920 --> 00:17:40,200
story with that. We had two codes in in

505
00:17:40,200 --> 00:17:43,200
our branch, CFL3D and FUN3D and and we

506
00:17:43,200 --> 00:17:45,480
started comparing against each other.

507
00:17:45,480 --> 00:17:46,840
And at one point we were getting

508
00:17:46,840 --> 00:17:49,120
different answers with that model.

509
00:17:49,120 --> 00:17:50,080
And

510
00:17:50,080 --> 00:17:52,440
the TLNS3D answers were better compared

511
00:17:52,440 --> 00:17:54,520
to certain experiments

512
00:17:54,520 --> 00:17:56,200
when we were comparing. But it turned

513
00:17:56,200 --> 00:17:58,720
out that that there was a a factor of

514
00:17:58,720 --> 00:18:01,600
two error in in their coding. So putting

515
00:18:01,600 --> 00:18:03,960
in that factor of two

516
00:18:03,960 --> 00:18:05,560
just happened to give a better answer.

517
00:18:05,560 --> 00:18:06,960
This is a this is a story of turbulence

518
00:18:06,960 --> 00:18:09,360
modelling, right? Yeah.

519
00:18:09,360 --> 00:18:10,880
There's always a two missing or a half

520
00:18:10,880 --> 00:18:14,000
missing. Yeah, yeah.

521
00:18:14,000 --> 00:18:17,000
Ah, okay. Just so for people to

522
00:18:17,000 --> 00:18:19,600
understand, so CFL3D, am I correct that

523
00:18:19,600 --> 00:18:22,360
was the structured focused code, is that

524
00:18:22,360 --> 00:18:25,840
right? Well, both TLNS3D and CFL3D are

525
00:18:25,840 --> 00:18:27,400
both structured codes. Yeah, they just

526
00:18:27,400 --> 00:18:30,040
kind of developed side by side. Um

527
00:18:30,040 --> 00:18:31,400
Okay.

528
00:18:31,400 --> 00:18:33,520
within the same same branch. And then

529
00:18:33,520 --> 00:18:36,400
FUN3D came along. This is also within

530
00:18:36,400 --> 00:18:38,800
our branch, came along the unstructured

531
00:18:38,800 --> 00:18:40,240
uh

532
00:18:40,240 --> 00:18:41,600
code came along around that time,

533
00:18:41,600 --> 00:18:43,560
started to build up.

534
00:18:43,560 --> 00:18:45,760
Okay, so were you quite involved with

535
00:18:45,760 --> 00:18:48,640
FUN3D as well or was it more CFL

536
00:18:48,640 --> 00:18:49,520
focused?

537
00:18:49,520 --> 00:18:51,720
Yeah, for me it was more CFL3D. Uh the

538
00:18:51,720 --> 00:18:53,960
FUN3D I wasn't too involved in until

539
00:18:53,960 --> 00:18:55,040
later.

540
00:18:55,040 --> 00:18:57,960
Yeah, maybe in the 2000s I started to

541
00:18:57,960 --> 00:19:00,240
get more involved on that team.

542
00:19:00,240 --> 00:19:01,560
Now, one of the thing that I was really

543
00:19:01,560 --> 00:19:03,560
interested to know

544
00:19:03,560 --> 00:19:05,920
the turbulence modelling website Mhm. has

545
00:19:05,920 --> 00:19:07,480
become a

546
00:19:07,480 --> 00:19:08,720
I mean, almost everybody who's

547
00:19:08,720 --> 00:19:11,200
developing turbulence models or

548
00:19:11,200 --> 00:19:12,640
or not even developing them, testing

549
00:19:12,640 --> 00:19:14,440
them, verifying them, validating them.

550
00:19:14,440 --> 00:19:16,720
So, if you go to that website now, but

551
00:19:16,720 --> 00:19:19,000
how did it all begin? What How did that

552
00:19:19,000 --> 00:19:20,920
even start?

553
00:19:20,920 --> 00:19:23,040
Yeah, that um

554
00:19:23,040 --> 00:19:26,880
during the early 2000s, I guess. Uh

555
00:19:26,880 --> 00:19:27,440
uh

556
00:19:27,440 --> 00:19:29,800
Brian Smith from Lockheed Martin and

557
00:19:29,800 --> 00:19:32,240
George Wang from um

558
00:19:32,240 --> 00:19:34,480
Where is he now? Ohio

559
00:19:34,480 --> 00:19:36,240
State One of the One of the universities

560
00:19:36,240 --> 00:19:36,960
in

561
00:19:36,960 --> 00:19:37,880
up there.

562
00:19:37,880 --> 00:19:38,440
Uh

563
00:19:38,440 --> 00:19:39,720
we got together and we were talking

564
00:19:39,720 --> 00:19:41,840
about this um

565
00:19:41,840 --> 00:19:44,000
how it would be nice to have

566
00:19:44,000 --> 00:19:45,440
uh

567
00:19:45,440 --> 00:19:48,160
a website or a a place where people

568
00:19:48,160 --> 00:19:51,000
could go to um

569
00:19:51,000 --> 00:19:52,600
see

570
00:19:52,600 --> 00:19:55,440
how models behave for basic problems,

571
00:19:55,440 --> 00:19:57,280
right? That was the the first idea was

572
00:19:57,280 --> 00:19:59,520
to say, "Okay, well, if I want to run a

573
00:19:59,520 --> 00:20:01,520
case that's really dominated by, you

574
00:20:01,520 --> 00:20:03,880
know, shear or or

575
00:20:03,880 --> 00:20:06,480
a jet an axisymmetric

576
00:20:06,480 --> 00:20:08,360
you know, different type If I have this

577
00:20:08,360 --> 00:20:10,080
this dominant

578
00:20:10,080 --> 00:20:11,920
basic problem, what is the best model

579
00:20:11,920 --> 00:20:13,400
for it?" And to have a place where

580
00:20:13,400 --> 00:20:14,720
people could just go and look it up and

581
00:20:14,720 --> 00:20:16,320
say like a little library. Say, "Oh, you

582
00:20:16,320 --> 00:20:18,040
know, for this type of

583
00:20:18,040 --> 00:20:20,080
flow, this is the best model."

584
00:20:20,080 --> 00:20:22,680
Uh or or whatever. Or or this is the

585
00:20:22,680 --> 00:20:24,800
the flaws of the model here. And uh so,

586
00:20:24,800 --> 00:20:26,920
we created this team

587
00:20:26,920 --> 00:20:28,600
uh the turbulence model benchmark

588
00:20:28,600 --> 00:20:31,040
working group, which still exists today

589
00:20:31,040 --> 00:20:34,080
and still meets fairly regularly. Um

590
00:20:34,080 --> 00:20:36,240
to to talk about to get together and

591
00:20:36,240 --> 00:20:37,640
talk about these things and maybe start

592
00:20:37,640 --> 00:20:40,720
to formulate uh plans for that.

593
00:20:40,720 --> 00:20:42,120
So, that's really the where it started.

594
00:20:42,120 --> 00:20:43,560
And there were some special sessions at

595
00:20:43,560 --> 00:20:46,320
early AIAA meetings where we uh brought

596
00:20:46,320 --> 00:20:48,040
up the ideas and talked to people about

597
00:20:48,040 --> 00:20:49,080
it.

598
00:20:49,080 --> 00:20:51,160
But then, the part of the But the part

599
00:20:51,160 --> 00:20:53,840
of the website

600
00:20:53,840 --> 00:20:55,960
the verification part, which which I

601
00:20:55,960 --> 00:20:57,800
think is maybe had a little bit more

602
00:20:57,800 --> 00:20:59,960
impact now. That was actually something

603
00:20:59,960 --> 00:21:02,800
that I came up with as a total fluke

604
00:21:02,800 --> 00:21:04,560
result of what what I would call

605
00:21:04,560 --> 00:21:06,080
serendipity.

606
00:21:06,080 --> 00:21:08,080
You know, I just something that just

607
00:21:08,080 --> 00:21:10,280
happened at a workshop I went to and it

608
00:21:10,280 --> 00:21:13,520
was it was something in um

609
00:21:13,520 --> 00:21:15,200
it was a workshop in Europe. They used

610
00:21:15,200 --> 00:21:16,480
to have these

611
00:21:16,480 --> 00:21:18,080
uh I can't remember the names of the

612
00:21:18,080 --> 00:21:19,600
workshops, but they were

613
00:21:19,600 --> 00:21:20,600
they would get together kind of like

614
00:21:20,600 --> 00:21:22,600
they do now and they everyone would run

615
00:21:22,600 --> 00:21:24,320
their codes with

616
00:21:24,320 --> 00:21:26,480
certain models certain small ones.

617
00:21:26,480 --> 00:21:27,840
um a cough tech maybe?

618
00:21:27,840 --> 00:21:28,800
It was in a cough tech. It was in a

619
00:21:28,800 --> 00:21:31,600
cough tech. Yeah, sponsored event.

620
00:21:31,600 --> 00:21:33,240
And then they would compare results. You

621
00:21:33,240 --> 00:21:34,320
know, and usually it was something with

622
00:21:34,320 --> 00:21:36,520
separation because no one could do that.

623
00:21:36,520 --> 00:21:38,840
Mhm. And then they would um draw

624
00:21:38,840 --> 00:21:41,440
conclusions from them or not which is

625
00:21:41,440 --> 00:21:43,560
maybe more often what happened. And and

626
00:21:43,560 --> 00:21:46,280
at at this at this workshop at one point

627
00:21:46,280 --> 00:21:47,920
there was um

628
00:21:47,920 --> 00:21:49,880
they were showing results and I was I

629
00:21:49,880 --> 00:21:52,200
was using CFL3D with a Spalart–Allmaras

630
00:21:52,200 --> 00:21:53,320
model.

631
00:21:53,320 --> 00:21:55,280
And it turns out that another

632
00:21:55,280 --> 00:21:57,600
group, I think it was ONERA

633
00:21:57,600 --> 00:21:58,880
was using

634
00:21:58,880 --> 00:22:00,520
I believe it was ELSA, but one of their

635
00:22:00,520 --> 00:22:02,600
codes using the same model

636
00:22:02,600 --> 00:22:03,880
and there were all these results, but

637
00:22:03,880 --> 00:22:06,640
these two results right dead on top of

638
00:22:06,640 --> 00:22:08,560
each other. And it was it was these two

639
00:22:08,560 --> 00:22:10,680
code results and I realized then that

640
00:22:10,680 --> 00:22:11,920
said, you know, this is a good way to

641
00:22:11,920 --> 00:22:13,760
determine whether

642
00:22:13,760 --> 00:22:15,280
you're um

643
00:22:15,280 --> 00:22:17,440
you've coded it correctly. If two people

644
00:22:17,440 --> 00:22:19,960
because it's so much more likely

645
00:22:19,960 --> 00:22:22,200
that if you get the same answer what's

646
00:22:22,200 --> 00:22:24,680
the what are the chances of

647
00:22:24,680 --> 00:22:26,600
of of a coding error

648
00:22:26,600 --> 00:22:28,840
if two are absolutely dead on top of

649
00:22:28,840 --> 00:22:30,280
each other like that.

650
00:22:30,280 --> 00:22:31,600
Mhm. And so it just struck me that that

651
00:22:31,600 --> 00:22:33,320
was a way of

652
00:22:33,320 --> 00:22:34,800
um

653
00:22:34,800 --> 00:22:37,120
doing a kind of cheap verification, you

654
00:22:37,120 --> 00:22:38,960
know, without

655
00:22:38,960 --> 00:22:40,840
you know, the formal

656
00:22:40,840 --> 00:22:42,720
method of manufactured solutions or or

657
00:22:42,720 --> 00:22:45,360
other methodology, but just just

658
00:22:45,360 --> 00:22:46,960
you know, the the on the more codes you

659
00:22:46,960 --> 00:22:48,400
compare and the more the degree the more

660
00:22:48,400 --> 00:22:50,480
confidence you have in that this is

661
00:22:50,480 --> 00:22:51,880
right.

662
00:22:51,880 --> 00:22:54,400
And um do you have any stats on that? Do

663
00:22:54,400 --> 00:22:55,520
you know how many people actually go to

664
00:22:55,520 --> 00:22:57,160
that website?

665
00:22:57,160 --> 00:22:59,480
Do you have a ton of any Yeah, I mean

666
00:22:59,480 --> 00:23:01,320
I've it's that's hard to say because

667
00:23:01,320 --> 00:23:04,080
they have these, you know, Google um

668
00:23:04,080 --> 00:23:05,160
has a

669
00:23:05,160 --> 00:23:07,760
a way of uh tracking these things, but I

670
00:23:07,760 --> 00:23:08,880
don't know what these numbers actually

671
00:23:08,880 --> 00:23:11,200
mean because it's is I don't know

672
00:23:11,200 --> 00:23:12,800
whether it's actually people going to it

673
00:23:12,800 --> 00:23:15,600
or or robots going to it. I I don't know

674
00:23:15,600 --> 00:23:16,800
what it is.

675
00:23:16,800 --> 00:23:19,800
But uh yeah, it's it's it's quite a bit.

676
00:23:19,800 --> 00:23:22,200
I can't remember maybe 40,000 a month or

677
00:23:22,200 --> 00:23:24,560
something like that at the most, yeah.

678
00:23:24,560 --> 00:23:26,800
It's a lot. I'm sure it is cuz everybody

679
00:23:26,800 --> 00:23:28,440
seems to go there.

680
00:23:28,440 --> 00:23:31,040
It's um I mean, it is a credit that you

681
00:23:31,040 --> 00:23:33,480
know, Brian himself and the rest still

682
00:23:33,480 --> 00:23:35,960
keep this going because uh

683
00:23:35,960 --> 00:23:38,080
I I used it in my PhD. I think most

684
00:23:38,080 --> 00:23:40,720
people do it. It's it's such a But I

685
00:23:40,720 --> 00:23:42,240
always feel bad for you cuz it seems

686
00:23:42,240 --> 00:23:45,240
like I your website coding skills quite

687
00:23:45,240 --> 00:23:46,800
good now because you always seem to be

688
00:23:46,800 --> 00:23:50,320
updating websites. Oh, yeah.

689
00:23:50,320 --> 00:23:51,680
That that's happened. And then one

690
00:23:51,680 --> 00:23:53,280
unintended consequence of the website,

691
00:23:53,280 --> 00:23:55,280
too, was just I didn't realize this at

692
00:23:55,280 --> 00:23:57,240
the time, but having one place just to

693
00:23:57,240 --> 00:23:59,600
go for information like that is really

694
00:23:59,600 --> 00:24:00,520
it's I mean, I do it all the time

695
00:24:00,520 --> 00:24:02,120
myself. Like instead of

696
00:24:02,120 --> 00:24:03,520
having to say, "Okay, well, I got to

697
00:24:03,520 --> 00:24:05,480
look up this thing in in the Broughton's

698
00:24:05,480 --> 00:24:07,360
model." So, you have to find the paper

699
00:24:07,360 --> 00:24:08,480
and you have to remember where the paper

700
00:24:08,480 --> 00:24:09,560
was. You have to remember which year it

701
00:24:09,560 --> 00:24:12,520
was published. And this way it's just

702
00:24:12,520 --> 00:24:14,200
one it takes you 10 seconds and you're

703
00:24:14,200 --> 00:24:15,840
and you're there. One of the things that

704
00:24:15,840 --> 00:24:18,480
stood out in that 2030 report was the

705
00:24:18,480 --> 00:24:20,400
lack of machine learning.

706
00:24:20,400 --> 00:24:22,400
It it's kind of incredible in a way. If

707
00:24:22,400 --> 00:24:24,240
I'm not mistaken, there was very little

708
00:24:24,240 --> 00:24:26,160
mention if if at all Yeah.

709
00:24:26,160 --> 00:24:28,520
about machine learning and fast forward

710
00:24:28,520 --> 00:24:32,040
to now and it's So, is that What Where

711
00:24:32,040 --> 00:24:33,400
do you

712
00:24:33,400 --> 00:24:35,120
I mean, this is a big topic, but so

713
00:24:35,120 --> 00:24:37,120
let's say first of all, the turbulence

714
00:24:37,120 --> 00:24:40,400
modelling, where do you see

715
00:24:40,400 --> 00:24:42,560
the role of machine learning? Are Are

716
00:24:42,560 --> 00:24:46,480
you positive about? Are you thinking

717
00:24:46,480 --> 00:24:49,560
there's over hype in this area around

718
00:24:49,560 --> 00:24:51,480
turbulence modelling to begin with?

719
00:24:51,480 --> 00:24:53,200
Yeah, I think there's a little bit of

720
00:24:53,200 --> 00:24:55,400
over hype and it's coming back down to

721
00:24:55,400 --> 00:24:57,720
ground now a little bit because I think

722
00:24:57,720 --> 00:24:59,840
at the time well first of all I think

723
00:24:59,840 --> 00:25:02,160
when the when the 2014 report came out

724
00:25:02,160 --> 00:25:03,680
there wasn't much machine learning out

725
00:25:03,680 --> 00:25:05,440
there. I mean there it was there but not

726
00:25:05,440 --> 00:25:07,240
so much in our field. So I it wasn't

727
00:25:07,240 --> 00:25:09,280
even in the the authors

728
00:25:09,280 --> 00:25:13,280
brains at that point. But um

729
00:25:13,280 --> 00:25:15,960
I think then that that the thought there

730
00:25:15,960 --> 00:25:17,320
was a lot of thought that oh well this

731
00:25:17,320 --> 00:25:18,600
is going to answer everything within a

732
00:25:18,600 --> 00:25:20,360
few years we'll have all the answers and

733
00:25:20,360 --> 00:25:21,320
and that

734
00:25:21,320 --> 00:25:23,360
did not pan out and now I think maybe

735
00:25:23,360 --> 00:25:24,680
the thinking more is that machine

736
00:25:24,680 --> 00:25:26,880
learning

737
00:25:26,880 --> 00:25:29,560
in conjunction with someone who

738
00:25:29,560 --> 00:25:31,880
understands turbulence like a turbulence

739
00:25:31,880 --> 00:25:33,240
model developer

740
00:25:33,240 --> 00:25:35,240
somehow working hand in hand and maybe

741
00:25:35,240 --> 00:25:36,960
it like another tool that could be used

742
00:25:36,960 --> 00:25:39,240
to help the turbulence modeler develop

743
00:25:39,240 --> 00:25:41,120
something but that the machine learning

744
00:25:41,120 --> 00:25:42,600
itself

745
00:25:42,600 --> 00:25:44,720
it is it's it's not going to do it on

746
00:25:44,720 --> 00:25:45,920
its own.

747
00:25:45,920 --> 00:25:47,880
So yeah we were talking um before about

748
00:25:47,880 --> 00:25:51,240
the high-lift. So where did um

749
00:25:51,240 --> 00:25:52,640
I guess similar to the turbulence

750
00:25:52,640 --> 00:25:53,800
modelling

751
00:25:53,800 --> 00:25:56,840
website high-lift workshop among some of

752
00:25:56,840 --> 00:25:59,080
the other workshop as

753
00:25:59,080 --> 00:26:01,640
I would say been responsible for pushing

754
00:26:01,640 --> 00:26:03,320
a lot of the innovation particularly

755
00:26:03,320 --> 00:26:06,160
around scale resolving methods. I think

756
00:26:06,160 --> 00:26:08,120
the past few years

757
00:26:08,120 --> 00:26:10,320
um there's been a lot of advances on

758
00:26:10,320 --> 00:26:12,320
that but what where did that actually

759
00:26:12,320 --> 00:26:13,600
start

760
00:26:13,600 --> 00:26:15,480
the the high-lift workshop? Do you

761
00:26:15,480 --> 00:26:17,760
remember the origins?

762
00:26:17,760 --> 00:26:19,840
Well I mean I guess the drag prediction

763
00:26:19,840 --> 00:26:22,800
workshop came first and became the the

764
00:26:22,800 --> 00:26:25,280
source for a lot of ideas for for

765
00:26:25,280 --> 00:26:28,160
workshop subsequently but um

766
00:26:28,160 --> 00:26:30,600
yeah the high-lift workshop was uh I

767
00:26:30,600 --> 00:26:33,080
guess it was a the brainchild of uh the

768
00:26:33,080 --> 00:26:35,480
NASA collaboration with folks at uh

769
00:26:35,480 --> 00:26:37,880
Boeing and um another

770
00:26:37,880 --> 00:26:38,840
uh

771
00:26:38,840 --> 00:26:41,560
of the commercial companies that where

772
00:26:41,560 --> 00:26:44,080
high-lift was the the solution or the

773
00:26:44,080 --> 00:26:46,680
need to solve high-lift accurately with

774
00:26:46,680 --> 00:26:49,360
CFD it was seen as a major stumbling

775
00:26:49,360 --> 00:26:51,960
block and and it's you know still is

776
00:26:51,960 --> 00:26:54,480
today, you know, that's not not really

777
00:26:54,480 --> 00:26:57,200
known exactly how to confidently do

778
00:26:57,200 --> 00:27:00,600
that. And so the workshops were they saw

779
00:27:00,600 --> 00:27:01,920
the drag prediction workshops and said,

780
00:27:01,920 --> 00:27:03,280
"Well, we should do this for high-lift

781
00:27:03,280 --> 00:27:04,840
and really bring the community together

782
00:27:04,840 --> 00:27:06,600
to to try to

783
00:27:06,600 --> 00:27:08,840
put our brains in one place and get get

784
00:27:08,840 --> 00:27:10,680
something working better."

785
00:27:10,680 --> 00:27:13,680
And where do you see it from then

786
00:27:13,680 --> 00:27:14,920
to now?

787
00:27:14,920 --> 00:27:17,240
How how have you seen the progression

788
00:27:17,240 --> 00:27:19,440
being in terms of accuracy, in terms of

789
00:27:19,440 --> 00:27:21,600
capability?

790
00:27:21,600 --> 00:27:24,960
Well, I guess the first three workshops

791
00:27:24,960 --> 00:27:26,640
were almost all Reynolds-averaged

792
00:27:26,640 --> 00:27:28,560
Navier–Stokes.

793
00:27:28,560 --> 00:27:30,760
And one of our big conclusions so far

794
00:27:30,760 --> 00:27:32,320
has been that Reynolds-averaged

795
00:27:32,320 --> 00:27:35,360
Navier–Stokes cannot

796
00:27:35,360 --> 00:27:37,520
consistently and accurately predict

797
00:27:37,520 --> 00:27:39,440
separated flow. So, it consist it cannot

798
00:27:39,440 --> 00:27:41,680
consistently and accurately predict high

799
00:27:41,680 --> 00:27:43,120
lift

800
00:27:43,120 --> 00:27:45,520
uh the high-lift flows.

801
00:27:45,520 --> 00:27:49,600
So, for a lot of it, it was uh

802
00:27:49,600 --> 00:27:51,040
not much progression other than just

803
00:27:51,040 --> 00:27:52,960
confirmation every time that, you know,

804
00:27:52,960 --> 00:27:55,640
we can't do it or we have this issue.

805
00:27:55,640 --> 00:27:57,840
And then very slowly over the last

806
00:27:57,840 --> 00:28:00,680
couple of workshops, we've had more of

807
00:28:00,680 --> 00:28:02,840
the scale resolving type of simulations

808
00:28:02,840 --> 00:28:04,040
enter into the

809
00:28:04,040 --> 00:28:05,080
picture.

810
00:28:05,080 --> 00:28:06,720
And we're seeing now the the push in

811
00:28:06,720 --> 00:28:09,040
that direction and seeing how

812
00:28:09,040 --> 00:28:11,480
it it's still not perfect, but those and

813
00:28:11,480 --> 00:28:13,960
those methods still have a lot of

814
00:28:13,960 --> 00:28:15,160
There's so many out there, so many

815
00:28:15,160 --> 00:28:16,440
different ways of

816
00:28:16,440 --> 00:28:17,960
approaching it.

817
00:28:17,960 --> 00:28:20,360
But we see that the the flow physics is

818
00:28:20,360 --> 00:28:22,960
better captured by those methods. We see

819
00:28:22,960 --> 00:28:23,760
the

820
00:28:23,760 --> 00:28:24,920
um

821
00:28:24,920 --> 00:28:27,760
uh the separation patterns and the

822
00:28:27,760 --> 00:28:30,440
the reasons for the stall that happened

823
00:28:30,440 --> 00:28:33,600
near near maximum lift

824
00:28:33,600 --> 00:28:35,480
are being captured by those methods. But

825
00:28:35,480 --> 00:28:37,480
do you think therefore we're close to

826
00:28:37,480 --> 00:28:39,320
solving this problem? Where do you see

827
00:28:39,320 --> 00:28:42,080
as the

828
00:28:43,840 --> 00:28:45,200
Well, I think it's it's certainly

829
00:28:45,200 --> 00:28:48,160
closer, you know,

830
00:28:48,160 --> 00:28:50,280
in projects we often have, you know,

831
00:28:50,280 --> 00:28:52,720
milestones and uh

832
00:28:52,720 --> 00:28:56,120
and points where we declare success.

833
00:28:56,120 --> 00:28:58,120
And it's it's it it's maybe almost too

834
00:28:58,120 --> 00:29:00,320
easy to say, "Yeah, we've solved it."

835
00:29:00,320 --> 00:29:02,240
When really there's

836
00:29:02,240 --> 00:29:03,680
it just made a step in the right

837
00:29:03,680 --> 00:29:05,320
direction and it's it's certainly

838
00:29:05,320 --> 00:29:07,040
getting it better, but there's

839
00:29:07,040 --> 00:29:09,240
still a ways to go. I saw you just

840
00:29:09,240 --> 00:29:11,240
recently did um

841
00:29:11,240 --> 00:29:13,400
a paper which which I guess all of this

842
00:29:13,400 --> 00:29:15,040
is sort of leading to, isn't it? Which

843
00:29:15,040 --> 00:29:17,760
is this certification by analysis.

844
00:29:17,760 --> 00:29:19,360
Um

845
00:29:19,360 --> 00:29:21,480
where do you see that being and maybe

846
00:29:21,480 --> 00:29:23,960
you could explain just this terminology.

847
00:29:23,960 --> 00:29:25,320
I guess some people call it digital

848
00:29:25,320 --> 00:29:26,720
certification, some people call it

849
00:29:26,720 --> 00:29:28,160
certification.

850
00:29:28,160 --> 00:29:30,800
How would you explain it and why is it

851
00:29:30,800 --> 00:29:33,720
an important thing for for NASA and and

852
00:29:33,720 --> 00:29:35,040
others?

853
00:29:35,040 --> 00:29:36,520
Yeah, well well it's important thing

854
00:29:36,520 --> 00:29:38,520
especially for the aircraft industry. I

855
00:29:38,520 --> 00:29:40,800
guess NASA is hoping to support that

856
00:29:40,800 --> 00:29:43,360
that goal. But it's um the idea that

857
00:29:43,360 --> 00:29:46,080
right now when they design airplanes,

858
00:29:46,080 --> 00:29:48,720
there's a lot of uh wind tunnel and

859
00:29:48,720 --> 00:29:51,080
flight tests that are very expensive

860
00:29:51,080 --> 00:29:52,880
that take place during the certification

861
00:29:52,880 --> 00:29:54,280
process.

862
00:29:54,280 --> 00:29:59,120
And the hope is that some aspects of the

863
00:29:59,120 --> 00:30:01,360
certification testing could be done by

864
00:30:01,360 --> 00:30:03,000
CFD

865
00:30:03,000 --> 00:30:04,640
in combination with

866
00:30:04,640 --> 00:30:06,280
uh with the others.

867
00:30:06,280 --> 00:30:08,720
That would lessen the the need for all

868
00:30:08,720 --> 00:30:10,960
of the expensive

869
00:30:10,960 --> 00:30:13,520
uh especially the flight flight testing,

870
00:30:13,520 --> 00:30:15,840
but all to reduce the expense of of the

871
00:30:15,840 --> 00:30:17,040
testing.

872
00:30:17,040 --> 00:30:18,760
So to get to that point though, there

873
00:30:18,760 --> 00:30:22,280
has to be a extremely high trust in the

874
00:30:22,280 --> 00:30:25,760
CFD that that what it's doing is

875
00:30:25,760 --> 00:30:27,240
as good

876
00:30:27,240 --> 00:30:28,680
as the um

877
00:30:28,680 --> 00:30:30,760
the other type of testing.

878
00:30:30,760 --> 00:30:32,440
And so that's the hope.

879
00:30:32,440 --> 00:30:34,120
At this point

880
00:30:34,120 --> 00:30:36,080
I think it's not there, but uh that's

881
00:30:36,080 --> 00:30:37,800
that's the idea of

882
00:30:37,800 --> 00:30:39,280
push toward that goal.

883
00:30:39,280 --> 00:30:41,160
I I think that's the one where I find

884
00:30:41,160 --> 00:30:42,600
particularly interesting around machine

885
00:30:42,600 --> 00:30:44,920
learning because

886
00:30:44,920 --> 00:30:47,000
I guess if you're going to do

887
00:30:47,000 --> 00:30:48,000
the way I see it, certification by

888
00:30:48,000 --> 00:30:50,760
analysis makes sense. It takes a you

889
00:30:50,760 --> 00:30:53,760
know, billions of dollars, years to do a

890
00:30:53,760 --> 00:30:55,840
lot of the wind tunnel and flight tests

891
00:30:55,840 --> 00:30:56,960
that

892
00:30:56,960 --> 00:30:58,880
will still need to be done, but it I

893
00:30:58,880 --> 00:31:00,520
guess it's just reducing the number of

894
00:31:00,520 --> 00:31:01,720
them

895
00:31:01,720 --> 00:31:03,880
um such that the ones that they do do

896
00:31:03,880 --> 00:31:06,080
could maybe be more high fidelity or you

897
00:31:06,080 --> 00:31:06,800
know,

898
00:31:06,800 --> 00:31:08,320
more detailed.

899
00:31:08,320 --> 00:31:10,400
Um and it seems like scale resolving

900
00:31:10,400 --> 00:31:12,040
methods are

901
00:31:12,040 --> 00:31:13,800
the sort of methods that could help in

902
00:31:13,800 --> 00:31:15,760
that. But then this is where the

903
00:31:15,760 --> 00:31:17,280
interest in machine learning comes in

904
00:31:17,280 --> 00:31:20,000
cuz there's a lot of a lot of talk of of

905
00:31:20,000 --> 00:31:21,920
machine learning, but

906
00:31:21,920 --> 00:31:24,000
the issue then is the reproducibility

907
00:31:24,000 --> 00:31:26,680
and can you explain it? I guess if you

908
00:31:26,680 --> 00:31:29,120
take a scale resolving, you can say it's

909
00:31:29,120 --> 00:31:30,520
solving these equations with this

910
00:31:30,520 --> 00:31:32,600
numerical scheme. You can sort of

911
00:31:32,600 --> 00:31:34,440
there's a theory

912
00:31:34,440 --> 00:31:36,480
how you get to the answer, isn't there?

913
00:31:36,480 --> 00:31:38,000
Where

914
00:31:38,000 --> 00:31:41,240
most people cannot exactly explain how a

915
00:31:41,240 --> 00:31:43,160
machine learning model gets to the

916
00:31:43,160 --> 00:31:45,480
answer. You know what I mean? Like how

917
00:31:45,480 --> 00:31:46,800
The computer can't even tell you how it

918
00:31:46,800 --> 00:31:49,240
gets the Yeah, so I do kind of wonder

919
00:31:49,240 --> 00:31:51,480
whether there's a bit of an opposing

920
00:31:51,480 --> 00:31:53,240
challenge here that machine learning may

921
00:31:53,240 --> 00:31:55,120
offer the challenge to do things faster

922
00:31:55,120 --> 00:31:56,800
and cheaper,

923
00:31:56,800 --> 00:31:58,800
but does it meet the test of being fully

924
00:31:58,800 --> 00:32:02,000
explainable and reproducible

925
00:32:02,000 --> 00:32:03,160
such that

926
00:32:03,160 --> 00:32:07,400
you can use it to do Right. Um cuz

927
00:32:07,400 --> 00:32:09,080
there's a lot of

928
00:32:09,080 --> 00:32:11,240
I think the reason I'm saying this is

929
00:32:11,240 --> 00:32:12,800
you know how it is, there's always when

930
00:32:12,800 --> 00:32:14,760
it comes to funding

931
00:32:14,760 --> 00:32:15,960
there's buzzwords, isn't there? There's

932
00:32:15,960 --> 00:32:17,280
there's there's things that attract

933
00:32:17,280 --> 00:32:19,200
funding. So for a while RANS was it. I

934
00:32:19,200 --> 00:32:20,800
think now it's almost the opposite where

935
00:32:20,800 --> 00:32:23,320
if you put RANS in your funding proposal

936
00:32:23,320 --> 00:32:25,040
This is what a lot of academics tell me.

937
00:32:25,040 --> 00:32:26,560
They say that is a guaranteed way for it

938
00:32:26,560 --> 00:32:29,080
not to be funded because they say it's

939
00:32:29,080 --> 00:32:30,080
all been done.

940
00:32:30,080 --> 00:32:30,440
Yeah.

941
00:32:30,440 --> 00:32:31,240
Yeah.

942
00:32:31,240 --> 00:32:32,600
And then it was all about scale

943
00:32:32,600 --> 00:32:35,080
resolving. And that was the way to get

944
00:32:35,080 --> 00:32:37,720
things funded, but it feels like now

945
00:32:37,720 --> 00:32:38,960
if you just say you're doing scale

946
00:32:38,960 --> 00:32:41,480
resolving, that's not considered novel

947
00:32:41,480 --> 00:32:42,920
enough. That's what everyone does it

948
00:32:42,920 --> 00:32:44,400
now. Yeah. You see, you have to do

949
00:32:44,400 --> 00:32:47,000
machine learning. Mhm. And uh the sort

950
00:32:47,000 --> 00:32:49,200
of concern is if all the money is put

951
00:32:49,200 --> 00:32:51,080
into the machine learning

952
00:32:51,080 --> 00:32:53,400
for partially good reason,

953
00:32:53,400 --> 00:32:55,760
does it actually take money away

954
00:32:55,760 --> 00:32:57,600
from perhaps some of the methods

955
00:32:57,600 --> 00:32:59,560
that ultimately may

956
00:32:59,560 --> 00:33:01,120
need to be used because of this

957
00:33:01,120 --> 00:33:02,840
reproduce You know what

958
00:33:02,840 --> 00:33:05,120
Do you see that? Do you see many of the

959
00:33:05,120 --> 00:33:07,160
NASA project or not just NASA, but just

960
00:33:07,160 --> 00:33:08,040
projects you're involved in?

961
00:33:08,040 --> 00:33:09,480
Well, in general, yeah, I think so. It's

962
00:33:09,480 --> 00:33:11,160
like It's like buzzword funding. Yeah,

963
00:33:11,160 --> 00:33:12,840
you you

964
00:33:12,840 --> 00:33:14,680
you almost have to have to do that to to

965
00:33:14,680 --> 00:33:16,320
get funding. And this is one of the

966
00:33:16,320 --> 00:33:17,800
concerns about the turbulence model

967
00:33:17,800 --> 00:33:19,600
benchmarking working group. It's a big

968
00:33:19,600 --> 00:33:22,120
mouthful to say. They um

969
00:33:22,120 --> 00:33:23,960
you know, that group in general feels

970
00:33:23,960 --> 00:33:25,120
that that

971
00:33:25,120 --> 00:33:26,400
RANS, you know, because

972
00:33:26,400 --> 00:33:27,960
Reynolds-averaged Navier–Stokes will be around

973
00:33:27,960 --> 00:33:30,000
for a long time. It's It's a very useful

974
00:33:30,000 --> 00:33:32,400
and usable method. We shouldn't

975
00:33:32,400 --> 00:33:33,480
just

976
00:33:33,480 --> 00:33:35,080
fix it in time and stagnate it. There

977
00:33:35,080 --> 00:33:37,120
should be continued development. And so,

978
00:33:37,120 --> 00:33:38,320
there's there

979
00:33:38,320 --> 00:33:40,080
It would be nice to have continued

980
00:33:40,080 --> 00:33:41,920
funding to some degree to some level for

981
00:33:41,920 --> 00:33:43,080
that effort.

982
00:33:43,080 --> 00:33:45,040
Mhm. Yeah.

983
00:33:45,040 --> 00:33:47,000
I guess this is always the challenge of

984
00:33:47,000 --> 00:33:48,760
um

985
00:33:48,760 --> 00:33:51,080
existing method versus new methods. You

986
00:33:51,080 --> 00:33:52,880
know, you have to sort of keep things

987
00:33:52,880 --> 00:33:53,960
going,

988
00:33:53,960 --> 00:33:56,000
but if you lose the older methods, yeah,

989
00:33:56,000 --> 00:33:58,840
it's it's tricky. Um

990
00:33:58,840 --> 00:34:00,880
I I was keen to to take a slightly

991
00:34:00,880 --> 00:34:05,440
different turn. Um Uh-oh.

992
00:34:05,440 --> 00:34:09,000
No, in a in a positive way. Um

993
00:34:09,000 --> 00:34:10,240
Okay.

994
00:34:10,240 --> 00:34:12,280
What's the best conference you've ever

995
00:34:12,280 --> 00:34:14,840
been to?

996
00:34:15,520 --> 00:34:18,120
Okay, the best conference I've ever been

997
00:34:18,120 --> 00:34:20,159
to.

998
00:34:20,159 --> 00:34:23,240
That's uh not a question I was expecting

999
00:34:23,240 --> 00:34:25,600
to

1000
00:34:26,000 --> 00:34:28,360
Well, I've been to so many AIAA

1001
00:34:28,360 --> 00:34:30,480
conferences, right? I mean, I've been to

1002
00:34:30,480 --> 00:34:32,800
Reno probably eight times.

1003
00:34:32,800 --> 00:34:34,919
Uh Uh

1004
00:34:35,760 --> 00:34:38,440
maybe maybe 50 AIAA conferences in my

1005
00:34:38,440 --> 00:34:42,320
life. Um so, it's hard to say if if if

1006
00:34:42,320 --> 00:34:43,840
they're I mean, I always enjoy them and

1007
00:34:43,840 --> 00:34:45,280
they're and they're very good. So, I

1008
00:34:45,280 --> 00:34:47,200
have to think of a novel conference

1009
00:34:47,200 --> 00:34:50,120
that's something out of the ordinary

1010
00:34:50,120 --> 00:34:54,040
that I've been to. Um

1011
00:34:54,480 --> 00:34:56,159
well, I would have to say probably one

1012
00:34:56,159 --> 00:34:58,200
of one of the workshop that one of the

1013
00:34:58,200 --> 00:35:00,280
first workshops I went to in Europe

1014
00:35:00,280 --> 00:35:02,880
where this idea for the

1015
00:35:02,880 --> 00:35:04,480
turbulence model

1016
00:35:04,480 --> 00:35:06,080
verification

1017
00:35:06,080 --> 00:35:09,000
came about. That I think that was a

1018
00:35:09,000 --> 00:35:10,360
I always think back fondly on that

1019
00:35:10,360 --> 00:35:11,520
workshop. First of all, because it was

1020
00:35:11,520 --> 00:35:13,120
in France. Okay.

1021
00:35:13,120 --> 00:35:14,920
And uh you know, I hadn't been there

1022
00:35:14,920 --> 00:35:16,240
before.

1023
00:35:16,240 --> 00:35:19,000
And they had wine for lunch. See, there

1024
00:35:19,000 --> 00:35:21,280
we go.

1025
00:35:22,120 --> 00:35:23,880
But I just think fondly on it just from

1026
00:35:23,880 --> 00:35:26,800
the fact that that was where

1027
00:35:26,800 --> 00:35:28,560
you know, the idea first came to me for

1028
00:35:28,560 --> 00:35:31,960
the for the turbulence modelling website.

1029
00:35:31,960 --> 00:35:35,640
Did the wine help the idea of I don't

1030
00:35:35,640 --> 00:35:38,320
think so, no.

1031
00:35:38,960 --> 00:35:40,280
Do you remember where in France that

1032
00:35:40,280 --> 00:35:41,240
was?

1033
00:35:41,240 --> 00:35:44,120
Uh that I think that was in Poitiers.

1034
00:35:44,120 --> 00:35:45,360
Okay. Yeah.

1035
00:35:45,360 --> 00:35:45,760
Okay.

1036
00:35:45,760 --> 00:35:48,200
Yeah. Where Joan of Arc was

1037
00:35:48,200 --> 00:35:49,960
tried or burned or something. I don't

1038
00:35:49,960 --> 00:35:50,440
know.

1039
00:35:50,440 --> 00:35:53,200
Okay. It was part of the tour there.

1040
00:35:53,200 --> 00:35:56,560
Yeah, I mean, I love the AIAA, but um

1041
00:35:56,560 --> 00:35:59,520
you know, there is something nice. I see

1042
00:35:59,520 --> 00:36:01,280
the value The AIAA

1043
00:36:01,280 --> 00:36:02,720
conferences are fantastic as a

1044
00:36:02,720 --> 00:36:04,880
networking event to see everybody in one

1045
00:36:04,880 --> 00:36:07,200
place. It sort of saves you

1046
00:36:07,200 --> 00:36:08,520
the you know everyone's going to be

1047
00:36:08,520 --> 00:36:10,840
there. That's right. To a certain point.

1048
00:36:10,840 --> 00:36:12,920
Um but

1049
00:36:12,920 --> 00:36:15,120
there is a value to sometimes these

1050
00:36:15,120 --> 00:36:17,760
smaller workshops that have a

1051
00:36:17,760 --> 00:36:21,280
a very targeted focus. Um and I must

1052
00:36:21,280 --> 00:36:23,440
admit I do kind of like

1053
00:36:23,440 --> 00:36:25,600
these ones. Um

1054
00:36:25,600 --> 00:36:27,640
I'm a bit of I'm obviously a bit biased

1055
00:36:27,640 --> 00:36:29,400
being in Europe myself, but there tends

1056
00:36:29,400 --> 00:36:30,720
to be a sort of

1057
00:36:30,720 --> 00:36:34,280
a large social aspect to it, which is

1058
00:36:34,280 --> 00:36:36,440
quite helpful to to sort of start

1059
00:36:36,440 --> 00:36:38,720
ideating ideas. Um

1060
00:36:38,720 --> 00:36:40,720
Yeah, and you meet new people because

1061
00:36:40,720 --> 00:36:42,520
it's a place you don't ordinarily go and

1062
00:36:42,520 --> 00:36:44,720
it's out of your normal wheelhouse. So,

1063
00:36:44,720 --> 00:36:46,840
that's always nice, too.

1064
00:36:46,840 --> 00:36:48,080
Okay, so

1065
00:36:48,080 --> 00:36:49,360
the um

1066
00:36:49,360 --> 00:36:50,520
maybe we can find the name. It was

1067
00:36:50,520 --> 00:36:52,200
probably in a cough tech thing. I think

1068
00:36:52,200 --> 00:36:52,800
I may

1069
00:36:52,800 --> 00:36:54,720
I think it was, yeah. That

1070
00:36:54,720 --> 00:36:57,880
That reminds me. I've seen some reports.

1071
00:36:57,880 --> 00:36:59,200
I can try and find I can maybe put in

1072
00:36:59,200 --> 00:37:00,920
the show comments. Okay, what was the

1073
00:37:00,920 --> 00:37:04,120
worst conference?

1074
00:37:05,560 --> 00:37:07,800
Uh The worst location for a conference.

1075
00:37:07,800 --> 00:37:11,440
Uh the worst conference

1076
00:37:13,480 --> 00:37:16,160
Well, maybe the uh the one that was held

1077
00:37:16,160 --> 00:37:18,760
here in uh in Norfolk. There was an AIAA

1078
00:37:18,760 --> 00:37:20,520
held in Norfolk, so it was so close that

1079
00:37:20,520 --> 00:37:23,160
we just had to drive to and from it.

1080
00:37:23,160 --> 00:37:24,640
And you couldn't even stay. You couldn't

1081
00:37:24,640 --> 00:37:26,720
justify Couldn't even justify staying.

1082
00:37:26,720 --> 00:37:29,160
You just had to drive from home, yeah.

1083
00:37:29,160 --> 00:37:31,640
What about Didn't they used to go um

1084
00:37:31,640 --> 00:37:33,360
This was before I think So, what's the

1085
00:37:33,360 --> 00:37:35,680
history of Reno? Was it always in Reno?

1086
00:37:35,680 --> 00:37:37,120
Was that the thing?

1087
00:37:37,120 --> 00:37:39,240
And someone told me that there was like

1088
00:37:39,240 --> 00:37:40,800
but it was there for many, many years. I

1089
00:37:40,800 --> 00:37:44,080
think AIAA had a nice deal there. Maybe

1090
00:37:44,080 --> 00:37:45,200
that was the reason, but it was also

1091
00:37:45,200 --> 00:37:46,960
very inexpensive place to stay. I

1092
00:37:46,960 --> 00:37:50,200
remember $55 a night was the uh

1093
00:37:50,200 --> 00:37:52,120
the cost of the the room for many, many

1094
00:37:52,120 --> 00:37:54,520
years.

1095
00:37:54,720 --> 00:37:55,800
Wow. Okay.

1096
00:37:55,800 --> 00:37:57,240
hard to get to. That was the hard part

1097
00:37:57,240 --> 00:37:59,600
because it was in in January.

1098
00:37:59,600 --> 00:38:01,320
And then, of course, in Reno depends on

1099
00:38:01,320 --> 00:38:02,680
the weather, you know, and it was often

1100
00:38:02,680 --> 00:38:04,200
fogged in.

1101
00:38:04,200 --> 00:38:05,760
It was one time we had to drive through

1102
00:38:05,760 --> 00:38:08,080
a snowstorm from San Francisco to get

1103
00:38:08,080 --> 00:38:09,600
there because the flights weren't

1104
00:38:09,600 --> 00:38:11,320
weren't going in.

1105
00:38:11,320 --> 00:38:13,520
Wow. That's crazy. Yeah,

1106
00:38:13,520 --> 00:38:15,680
I think one of my um

1107
00:38:15,680 --> 00:38:17,200
favorite conference I don't know if they

1108
00:38:17,200 --> 00:38:19,200
still have this philosophy. I think they

1109
00:38:19,200 --> 00:38:21,800
did, which was um

1110
00:38:21,800 --> 00:38:23,920
ETMM.

1111
00:38:23,920 --> 00:38:27,560
This is the European Turbulence

1112
00:38:27,560 --> 00:38:30,800
modelling and

1113
00:38:31,240 --> 00:38:32,960
I should know what the acronym is. And

1114
00:38:32,960 --> 00:38:34,320
something measurement, something like

1115
00:38:34,320 --> 00:38:35,520
that.

1116
00:38:35,520 --> 00:38:38,000
And someone told me that the if you

1117
00:38:38,000 --> 00:38:40,480
wanted to be an organizer, one of the

1118
00:38:40,480 --> 00:38:43,080
requirements they had is that ETMM must

1119
00:38:43,080 --> 00:38:45,680
always be by the a beach.

1120
00:38:45,680 --> 00:38:48,560
That's right. I think I heard that, too.

1121
00:38:48,560 --> 00:38:49,880
Yeah. And

1122
00:38:49,880 --> 00:38:53,480
but it did make it a very nice

1123
00:38:53,480 --> 00:38:54,880
event

1124
00:38:54,880 --> 00:38:56,680
to do. So that I think there was one in

1125
00:38:56,680 --> 00:38:58,600
I'm not sure if you were there.

1126
00:38:58,600 --> 00:38:59,960
Yeah, I went to I went to the one recent

1127
00:38:59,960 --> 00:39:01,640
I've I've never been to any of those,

1128
00:39:01,640 --> 00:39:03,080
but I went to one recently. I think that

1129
00:39:03,080 --> 00:39:04,440
was the one in

1130
00:39:04,440 --> 00:39:06,640
near Barcelona. Was that the one in

1131
00:39:06,640 --> 00:39:08,640
there was one in Marbella

1132
00:39:08,640 --> 00:39:11,160
that I I think I went to. Okay.

1133
00:39:11,160 --> 00:39:12,560
That was one. The only one that I'm

1134
00:39:12,560 --> 00:39:15,000
jealous of is every time the AIAA seems

1135
00:39:15,000 --> 00:39:17,120
to have something in Hawaii. Which is

1136
00:39:17,120 --> 00:39:19,440
not very often nowadays. I've never been

1137
00:39:19,440 --> 00:39:21,560
able to make but I do seem to remember

1138
00:39:21,560 --> 00:39:24,440
that about 10 years ago it was in Hawaii

1139
00:39:24,440 --> 00:39:26,280
and all the European people I knew were

1140
00:39:26,280 --> 00:39:28,120
trying to desperately put together

1141
00:39:28,120 --> 00:39:30,240
abstracts to justify

1142
00:39:30,240 --> 00:39:32,800
going. Yeah. Going to Hawaii.

1143
00:39:32,800 --> 00:39:34,240
There was a big flak when they first had

1144
00:39:34,240 --> 00:39:37,320
it in Hawaii. Some of the NASA managers

1145
00:39:37,320 --> 00:39:39,440
were saying this doesn't this isn't

1146
00:39:39,440 --> 00:39:41,360
right because it's like you're going to

1147
00:39:41,360 --> 00:39:43,480
a resort. It doesn't

1148
00:39:43,480 --> 00:39:44,400
you know,

1149
00:39:44,400 --> 00:39:45,920
it's not right for a government person

1150
00:39:45,920 --> 00:39:49,760
to go to a resort. We have to be

1151
00:39:49,760 --> 00:39:52,160
Yeah. Yeah, no, no, no. I especially

1152
00:39:52,160 --> 00:39:53,520
whenever there's times of sort of

1153
00:39:53,520 --> 00:39:56,840
economic crunch. I guess those uh

1154
00:39:56,840 --> 00:39:59,120
those get more challenging. Um

1155
00:39:59,120 --> 00:40:00,560
how about

1156
00:40:00,560 --> 00:40:02,760
one of the things that I've

1157
00:40:02,760 --> 00:40:03,800
I've always

1158
00:40:03,800 --> 00:40:05,240
keen to do and I guess part of the

1159
00:40:05,240 --> 00:40:06,760
reason for you been doing this podcast

1160
00:40:06,760 --> 00:40:07,800
was

1161
00:40:07,800 --> 00:40:09,440
to help people who are maybe a bit

1162
00:40:09,440 --> 00:40:11,240
earlier in their careers and they're not

1163
00:40:11,240 --> 00:40:15,480
so clear sort of you know, how to

1164
00:40:15,480 --> 00:40:17,360
progress in you know, throughout

1165
00:40:17,360 --> 00:40:19,400
throughout career. Mhm. What would be

1166
00:40:19,400 --> 00:40:21,280
your advice, and I don't know if you do

1167
00:40:21,280 --> 00:40:24,400
mentor people or help people in terms of

1168
00:40:24,400 --> 00:40:26,840
working for NASA? Do you What are the

1169
00:40:26,840 --> 00:40:29,080
routes? So, if you're, let's say, an

1170
00:40:29,080 --> 00:40:32,360
undergraduate or school um kid in the

1171
00:40:32,360 --> 00:40:33,400
US,

1172
00:40:33,400 --> 00:40:36,880
what routes are there to ultimately get

1173
00:40:36,880 --> 00:40:39,720
to to NASA?

1174
00:40:40,120 --> 00:40:41,760
Well, I think part of part of working

1175
00:40:41,760 --> 00:40:43,680
for NASA is is

1176
00:40:43,680 --> 00:40:45,960
being lucky because they don't hire very

1177
00:40:45,960 --> 00:40:48,560
often and and it's it's very competitive

1178
00:40:48,560 --> 00:40:51,000
to get in, but um

1179
00:40:51,000 --> 00:40:52,960
uh the job itself is great, you know,

1180
00:40:52,960 --> 00:40:54,320
because there's a certain amount of a

1181
00:40:54,320 --> 00:40:57,160
autonomy. It's probably similar to being

1182
00:40:57,160 --> 00:40:59,520
uh in in a university to some degree,

1183
00:40:59,520 --> 00:41:01,360
although maybe a little less

1184
00:41:01,360 --> 00:41:03,880
pressure from the point of view of

1185
00:41:03,880 --> 00:41:04,960
Having to get

1186
00:41:04,960 --> 00:41:08,480
get funding, yeah. Yeah. Yeah. But uh

1187
00:41:08,480 --> 00:41:10,000
yeah, I mean, I guess

1188
00:41:10,000 --> 00:41:10,800
I

1189
00:41:10,800 --> 00:41:12,440
the kind of advice I would give would be

1190
00:41:12,440 --> 00:41:14,600
I mean, to always say

1191
00:41:14,600 --> 00:41:15,880
at least when you're young, to always

1192
00:41:15,880 --> 00:41:18,680
say yes, you know, to anything and sign

1193
00:41:18,680 --> 00:41:20,440
up for things and and try new things

1194
00:41:20,440 --> 00:41:21,920
that are um

1195
00:41:21,920 --> 00:41:23,680
that are challenging that

1196
00:41:23,680 --> 00:41:24,680
uh

1197
00:41:24,680 --> 00:41:26,400
no one else wants to do because you

1198
00:41:26,400 --> 00:41:29,080
you'll always learn something from it.

1199
00:41:29,080 --> 00:41:31,200
And then also, I think hook on to things

1200
00:41:31,200 --> 00:41:34,240
that happen by chance and and

1201
00:41:34,240 --> 00:41:35,720
if if you see something that happens by

1202
00:41:35,720 --> 00:41:37,720
chance, then it's uh

1203
00:41:37,720 --> 00:41:40,680
a potential route to follow, you know,

1204
00:41:40,680 --> 00:41:42,320
follow it if you can.

1205
00:41:42,320 --> 00:41:44,760
Mhm. But, do you have Are you aware of

1206
00:41:44,760 --> 00:41:46,680
like even in Langley, do they do

1207
00:41:46,680 --> 00:41:48,360
internships? Do you You know, if you're

1208
00:41:48,360 --> 00:41:50,920
like an undergraduate, can you come over

1209
00:41:50,920 --> 00:41:52,640
to do Are there those sort of programs?

1210
00:41:52,640 --> 00:41:53,720
Yeah, they do have they do have

1211
00:41:53,720 --> 00:41:55,440
internships. Um

1212
00:41:55,440 --> 00:41:57,960
there's a it's an official site I mean,

1213
00:41:57,960 --> 00:41:59,080
it's changed over the years how they've

1214
00:41:59,080 --> 00:42:02,760
done it. Uh but but there's a a

1215
00:42:02,760 --> 00:42:04,240
uh internship program where they bring

1216
00:42:04,240 --> 00:42:07,040
in even high school students, college

1217
00:42:07,040 --> 00:42:09,280
students, various different levels.

1218
00:42:09,280 --> 00:42:10,120
Mhm.

1219
00:42:10,120 --> 00:42:12,280
And how does it I think I know the

1220
00:42:12,280 --> 00:42:13,360
answer to this, but maybe it's

1221
00:42:13,360 --> 00:42:15,720
interesting for others to know. So,

1222
00:42:15,720 --> 00:42:17,400
you join at NASA,

1223
00:42:17,400 --> 00:42:19,680
correct? And

1224
00:42:19,680 --> 00:42:21,720
am I right in that

1225
00:42:21,720 --> 00:42:24,960
when you first join, you either

1226
00:42:24,960 --> 00:42:26,840
you quite often join

1227
00:42:26,840 --> 00:42:28,960
as um

1228
00:42:28,960 --> 00:42:30,480
like a contractor almost? Would that be

1229
00:42:30,480 --> 00:42:33,160
right to say that that there's a sort of

1230
00:42:33,160 --> 00:42:34,280
Do you Do you know what I'm getting at?

1231
00:42:34,280 --> 00:42:34,440
And

1232
00:42:34,440 --> 00:42:36,360
Right. Right. Yeah. Yeah. Could you

1233
00:42:36,360 --> 00:42:37,000
explain maybe

1234
00:42:37,000 --> 00:42:38,600
have civil servants and they have

1235
00:42:38,600 --> 00:42:40,440
contractors, yeah. Now, the civil

1236
00:42:40,440 --> 00:42:42,400
servants are the are the difficult the

1237
00:42:42,400 --> 00:42:43,960
ones that don't open up so often. There

1238
00:42:43,960 --> 00:42:46,000
aren't often uh positions or the

1239
00:42:46,000 --> 00:42:48,320
positions are very few and far between.

1240
00:42:48,320 --> 00:42:49,880
Uh so often

1241
00:42:49,880 --> 00:42:50,520
uh

1242
00:42:50,520 --> 00:42:52,160
they'll have contractor positions. And I

1243
00:42:52,160 --> 00:42:54,040
think even now they've even changed the

1244
00:42:54,040 --> 00:42:55,680
positions uh

1245
00:42:55,680 --> 00:42:57,600
maybe not to not be a lifetime position.

1246
00:42:57,600 --> 00:42:59,760
They'll be like term hires.

1247
00:42:59,760 --> 00:43:01,600
As a way of um

1248
00:43:01,600 --> 00:43:04,000
trying to limit the

1249
00:43:04,000 --> 00:43:06,200
the the number of

1250
00:43:06,200 --> 00:43:07,120
civil servants.

1251
00:43:07,120 --> 00:43:09,200
civil servants, yeah. So, term hires or

1252
00:43:09,200 --> 00:43:10,640
which would be you know, it'll be a

1253
00:43:10,640 --> 00:43:13,160
5-year position, renewable depending on

1254
00:43:13,160 --> 00:43:15,480
your uh

1255
00:43:15,480 --> 00:43:17,280
Ah, okay.

1256
00:43:17,280 --> 00:43:19,840
how how well you do or you know, your

1257
00:43:19,840 --> 00:43:23,040
the needs for the pro- of the projects.

1258
00:43:23,040 --> 00:43:24,280
I don't I guess this must be very

1259
00:43:24,280 --> 00:43:26,040
difficult across NASA, but I you

1260
00:43:26,040 --> 00:43:27,200
mentioned that and I've always wondered

1261
00:43:27,200 --> 00:43:28,400
myself

1262
00:43:28,400 --> 00:43:31,080
like with a university. So, is it meant

1263
00:43:31,080 --> 00:43:33,880
Is it essentially that

1264
00:43:33,880 --> 00:43:36,000
as a

1265
00:43:36,000 --> 00:43:37,360
you're sort of treated as your own

1266
00:43:37,360 --> 00:43:39,360
specialist where you sort of have a a

1267
00:43:39,360 --> 00:43:41,000
freedom

1268
00:43:41,000 --> 00:43:44,320
to work on your own projects as well as

1269
00:43:44,320 --> 00:43:46,320
you're assigned projects to work on? Is

1270
00:43:46,320 --> 00:43:47,760
that kind of how it is? There's a bit of

1271
00:43:47,760 --> 00:43:49,680
a blend between the two. There's some

1272
00:43:49,680 --> 00:43:51,840
independent work and there's some

1273
00:43:51,840 --> 00:43:53,880
some project work?

1274
00:43:53,880 --> 00:43:55,800
Yeah, well, I think the way it it

1275
00:43:55,800 --> 00:43:58,560
optimally works is well, 50% of your

1276
00:43:58,560 --> 00:44:00,320
time is spent reading emails, right?

1277
00:44:00,320 --> 00:44:02,680
Like but nowadays.

1278
00:44:02,680 --> 00:44:04,240
But among the among the time when you

1279
00:44:04,240 --> 00:44:05,720
actually do work,

1280
00:44:05,720 --> 00:44:06,280
uh

1281
00:44:06,280 --> 00:44:08,480
so the projects, you know,

1282
00:44:08,480 --> 00:44:09,720
when you're first hired especially, you

1283
00:44:09,720 --> 00:44:11,160
know, you you're you're given a project

1284
00:44:11,160 --> 00:44:12,280
and you're you're expected to work on

1285
00:44:12,280 --> 00:44:13,920
the project. I think as you become more

1286
00:44:13,920 --> 00:44:15,600
and more senior, you you have more of a

1287
00:44:15,600 --> 00:44:18,160
say in contributing to what the projects

1288
00:44:18,160 --> 00:44:19,920
are doing, right? Cuz projects often get

1289
00:44:19,920 --> 00:44:22,040
their ideas from the

1290
00:44:22,040 --> 00:44:23,600
the the people that work there, you

1291
00:44:23,600 --> 00:44:25,360
know, the senior members will help

1292
00:44:25,360 --> 00:44:27,680
define what the project's

1293
00:44:27,680 --> 00:44:29,080
goals are.

1294
00:44:29,080 --> 00:44:32,080
Uh, but then every individual also is

1295
00:44:32,080 --> 00:44:33,400
given

1296
00:44:33,400 --> 00:44:36,240
I mean, again, this is in theory, given

1297
00:44:36,240 --> 00:44:38,440
like 15% of their time to do whatever

1298
00:44:38,440 --> 00:44:40,440
they want, you know, this is a white

1299
00:44:40,440 --> 00:44:43,280
space type of activity where they

1300
00:44:43,280 --> 00:44:45,800
encourage you to go try something that

1301
00:44:45,800 --> 00:44:47,480
that you saw that you

1302
00:44:47,480 --> 00:44:49,720
didn't you know, it's not necessarily a

1303
00:44:49,720 --> 00:44:51,280
project

1304
00:44:51,280 --> 00:44:53,000
goal, but something that you think might

1305
00:44:53,000 --> 00:44:55,520
turn out good and give give something.

1306
00:44:55,520 --> 00:44:57,120
So, the problem, of course, is finding

1307
00:44:57,120 --> 00:44:59,040
that 15% sometimes,

1308
00:44:59,040 --> 00:45:00,120
especially with the with the all the

1309
00:45:00,120 --> 00:45:02,160
emails.

1310
00:45:02,160 --> 00:45:04,200
Yeah, I know I can

1311
00:45:04,200 --> 00:45:05,160
I can imagine.

1312
00:45:05,160 --> 00:45:07,560
Did you ever

1313
00:45:07,560 --> 00:45:10,160
There's often a debate, academia,

1314
00:45:10,160 --> 00:45:12,720
industry, government. Mhm.

1315
00:45:12,720 --> 00:45:16,360
Were you ever tempted to go to an

1316
00:45:16,360 --> 00:45:18,920
industry position, you know, to to leave

1317
00:45:18,920 --> 00:45:21,480
NASA?

1318
00:45:21,560 --> 00:45:23,800
Yeah, I'd say you know,

1319
00:45:23,800 --> 00:45:25,440
throughout my career I've had several

1320
00:45:25,440 --> 00:45:27,360
times when I thought, well, I've done

1321
00:45:27,360 --> 00:45:29,120
this long enough, I should I should do

1322
00:45:29,120 --> 00:45:31,840
something different and thought about

1323
00:45:31,840 --> 00:45:33,640
what if I worked at Pixar, you know, I

1324
00:45:33,640 --> 00:45:33,920
mean

1325
00:45:33,920 --> 00:45:36,280
Oh, wow.

1326
00:45:36,600 --> 00:45:38,120
or or Tesla or something, you know.

1327
00:45:38,120 --> 00:45:40,800
Yeah. Yeah, but never got beyond the

1328
00:45:40,800 --> 00:45:43,640
point of just kind of thinking about it.

1329
00:45:43,640 --> 00:45:45,760
But, uh,

1330
00:45:45,760 --> 00:45:48,120
yeah, yeah, and then at one point so

1331
00:45:48,120 --> 00:45:49,720
some folks have left NASA and worked at

1332
00:45:49,720 --> 00:45:51,960
universities, um, and then sometimes

1333
00:45:51,960 --> 00:45:54,120
they come back and or they've

1334
00:45:54,120 --> 00:45:56,160
migrated from universities to NASA. It's

1335
00:45:56,160 --> 00:45:57,520
very different. I mean, we're we're

1336
00:45:57,520 --> 00:45:59,800
similar to university. I think we're

1337
00:45:59,800 --> 00:46:01,520
there's a lot

1338
00:46:01,520 --> 00:46:04,320
uh, it's kind of an academic feel to

1339
00:46:04,320 --> 00:46:06,640
working at NASA. Very very academic

1340
00:46:06,640 --> 00:46:08,800
environment in general.

1341
00:46:08,800 --> 00:46:12,440
But we do have very definitive project

1342
00:46:12,440 --> 00:46:15,480
goals and project thrusts.

1343
00:46:15,480 --> 00:46:18,240
So therefore there's milestones and and

1344
00:46:18,240 --> 00:46:20,880
needs you know NASA type

1345
00:46:20,880 --> 00:46:22,880
you know

1346
00:46:22,880 --> 00:46:25,640
thrust and goals that that that define

1347
00:46:25,640 --> 00:46:27,040
you where which where you may not have

1348
00:46:27,040 --> 00:46:29,040
that in in a in university environment

1349
00:46:29,040 --> 00:46:30,040
but then of course university

1350
00:46:30,040 --> 00:46:31,560
environment there's other pressures of

1351
00:46:31,560 --> 00:46:34,080
trying to get funding from places like

1352
00:46:34,080 --> 00:46:35,160
NASA.

1353
00:46:35,160 --> 00:46:35,600
Yeah.

1354
00:46:35,600 --> 00:46:36,920
of course industry there's always the

1355
00:46:36,920 --> 00:46:38,080
worry of

1356
00:46:38,080 --> 00:46:40,760
the ups and down swings in the in the in

1357
00:46:40,760 --> 00:46:42,440
the industry.

1358
00:46:42,440 --> 00:46:44,280
So what's kept you is there a certain

1359
00:46:44,280 --> 00:46:45,400
thing of

1360
00:46:45,400 --> 00:46:47,720
are you over the NASA thing or do you

1361
00:46:47,720 --> 00:46:49,680
have any moments like I don't know if

1362
00:46:49,680 --> 00:46:52,080
you ever work then wear the NASA t-shirt

1363
00:46:52,080 --> 00:46:53,880
when you go through are there any times

1364
00:46:53,880 --> 00:46:55,520
when you you sort of have that moment

1365
00:46:55,520 --> 00:46:56,680
you go oh actually this is pretty cool

1366
00:46:56,680 --> 00:46:58,280
that I work. Is there anything that

1367
00:46:58,280 --> 00:47:01,040
keeps you basically at NASA like that?

1368
00:47:01,040 --> 00:47:02,720
Yeah I think that there's that that

1369
00:47:02,720 --> 00:47:03,960
factor.

1370
00:47:03,960 --> 00:47:05,560
There there's been a lot of a lot of

1371
00:47:05,560 --> 00:47:06,960
times where you run into people and you

1372
00:47:06,960 --> 00:47:09,040
say you work at NASA and they all go woo

1373
00:47:09,040 --> 00:47:10,800
you know. And then you say well that's

1374
00:47:10,800 --> 00:47:12,320
the aeronautical side of NASA and they

1375
00:47:12,320 --> 00:47:14,040
say the what?

1376
00:47:14,040 --> 00:47:16,560
I was going to ask you about

1377
00:47:16,560 --> 00:47:18,200
Yeah everyone thinks of the the space

1378
00:47:18,200 --> 00:47:20,280
space part of it. But I I think I I've

1379
00:47:20,280 --> 00:47:22,640
really enjoyed working here. It's been a

1380
00:47:22,640 --> 00:47:23,880
you know

1381
00:47:23,880 --> 00:47:25,240
it's nothing's perfect and there's

1382
00:47:25,240 --> 00:47:26,720
always you know the grass is greener

1383
00:47:26,720 --> 00:47:27,880
thoughts.

1384
00:47:27,880 --> 00:47:29,800
But but overall I'd say it's been a a

1385
00:47:29,800 --> 00:47:31,800
really good place to work. You said

1386
00:47:31,800 --> 00:47:33,040
right at the beginning that you

1387
00:47:33,040 --> 00:47:36,480
attempted to to go into art. So have you

1388
00:47:36,480 --> 00:47:37,960
managed to

1389
00:47:37,960 --> 00:47:40,800
keep that balance? Do do you still draw?

1390
00:47:40,800 --> 00:47:42,160
Do you

1391
00:47:42,160 --> 00:47:43,480
have you managed to sort of keep that

1392
00:47:43,480 --> 00:47:44,960
hobby

1393
00:47:44,960 --> 00:47:46,840
alive?

1394
00:47:46,840 --> 00:47:50,040
Yes and no. It's it's gone in cycles

1395
00:47:50,040 --> 00:47:52,840
like anything. It it it's it's energy

1396
00:47:52,840 --> 00:47:55,000
right? I mean if if I have

1397
00:47:55,000 --> 00:47:56,440
Uh been a time in my life when I had a

1398
00:47:56,440 --> 00:47:59,080
lot of energy and every night I would do

1399
00:47:59,080 --> 00:48:00,080
um

1400
00:48:00,080 --> 00:48:02,600
some kind of art project or or something

1401
00:48:02,600 --> 00:48:04,680
just just for fun. Try to enter in

1402
00:48:04,680 --> 00:48:07,600
shows. At one point I was a a member of

1403
00:48:07,600 --> 00:48:08,400
uh

1404
00:48:08,400 --> 00:48:10,480
art alliance from the Hampton Roads

1405
00:48:10,480 --> 00:48:12,800
area. So I would be constantly going to

1406
00:48:12,800 --> 00:48:15,040
and from there. But then, you know,

1407
00:48:15,040 --> 00:48:17,280
you get tired of that and

1408
00:48:17,280 --> 00:48:18,840
the cycle cycles

1409
00:48:18,840 --> 00:48:20,160
cycle out of that and then everything

1410
00:48:20,160 --> 00:48:21,520
gets packed up and put on a shelf

1411
00:48:21,520 --> 00:48:23,320
somewhere and you don't do much.

1412
00:48:23,320 --> 00:48:25,800
Mhm. But

1413
00:48:25,800 --> 00:48:27,880
Do you think that advice is right though

1414
00:48:27,880 --> 00:48:29,680
about

1415
00:48:29,680 --> 00:48:31,720
art you know, a job that pays well and

1416
00:48:31,720 --> 00:48:33,360
not do art? Cuz I

1417
00:48:33,360 --> 00:48:34,960
I've heard this a lot that some people

1418
00:48:34,960 --> 00:48:37,840
are encouraged away from the arts

1419
00:48:37,840 --> 00:48:40,080
to go to a safe job like being a doctor

1420
00:48:40,080 --> 00:48:42,000
or being a thing. I mean, when you look,

1421
00:48:42,000 --> 00:48:44,160
do you think that was the right choice

1422
00:48:44,160 --> 00:48:46,480
or do you know friends and family who

1423
00:48:46,480 --> 00:48:47,360
have

1424
00:48:47,360 --> 00:48:49,880
you know, made a living out of

1425
00:48:49,880 --> 00:48:51,480
uh art?

1426
00:48:51,480 --> 00:48:53,600
My sister's made a living out of art.

1427
00:48:53,600 --> 00:48:55,880
She's she's um done very well. She's

1428
00:48:55,880 --> 00:48:58,320
actually a professor of art up at uh

1429
00:48:58,320 --> 00:49:01,120
Oh, wow. in in your your in a college.

1430
00:49:01,120 --> 00:49:03,920
Yeah, it's um

1431
00:49:03,920 --> 00:49:04,840
I don't know if that was the right

1432
00:49:04,840 --> 00:49:06,360
decision or not. I mean, the the the

1433
00:49:06,360 --> 00:49:08,480
professor that I I trusted the professor

1434
00:49:08,480 --> 00:49:10,280
who who told me that and I felt that

1435
00:49:10,280 --> 00:49:12,520
that was the right decision at the time.

1436
00:49:12,520 --> 00:49:14,320
I you know, obviously if I had if I had

1437
00:49:14,320 --> 00:49:15,880
made a different decision everything

1438
00:49:15,880 --> 00:49:16,840
would you know, wouldn't have the same

1439
00:49:16,840 --> 00:49:19,600
family and wouldn't be you know, So it's

1440
00:49:19,600 --> 00:49:20,960
right from that perspective that what I

1441
00:49:20,960 --> 00:49:22,800
did.

1442
00:49:22,800 --> 00:49:24,840
But yeah, I I don't know. It's it's

1443
00:49:24,840 --> 00:49:27,680
really hard to hard back in time and

1444
00:49:27,680 --> 00:49:29,800
Mhm. and say You know, you contributed a

1445
00:49:29,800 --> 00:49:31,040
lot. You've done a huge amount of

1446
00:49:31,040 --> 00:49:32,960
things. Is there anything that you still

1447
00:49:32,960 --> 00:49:35,000
feel is unfinished? Is there Is there

1448
00:49:35,000 --> 00:49:37,000
anything that you like I really I have

1449
00:49:37,000 --> 00:49:38,840
certain things I really would like to go

1450
00:49:38,840 --> 00:49:42,640
and do or achieve that I haven't yet

1451
00:49:42,640 --> 00:49:44,000
done?

1452
00:49:44,000 --> 00:49:46,480
No, I don't think so. I mean,

1453
00:49:46,480 --> 00:49:50,080
when I was younger, I would be um

1454
00:49:50,080 --> 00:49:51,640
uh of course there's always the dream to

1455
00:49:51,640 --> 00:49:55,360
become uh another uh Brown Van Lear or

1456
00:49:55,360 --> 00:49:56,760
you know

1457
00:49:56,760 --> 00:49:58,040
some

1458
00:49:58,040 --> 00:49:58,600
surname

1459
00:49:58,600 --> 00:50:00,560
Einstein or something.

1460
00:50:00,560 --> 00:50:02,640
Yeah. You know, but that that eventually

1461
00:50:02,640 --> 00:50:04,440
you say, "Okay, this this is what I'm

1462
00:50:04,440 --> 00:50:05,680
good at. I

1463
00:50:05,680 --> 00:50:08,040
I'm well organized. I can figure out how

1464
00:50:08,040 --> 00:50:11,520
to do do these certain things and and

1465
00:50:11,520 --> 00:50:12,680
you know, I I

1466
00:50:12,680 --> 00:50:14,520
I'll just enjoy what I'm able to do as

1467
00:50:14,520 --> 00:50:17,120
best I can do it, but

1468
00:50:17,120 --> 00:50:18,520
I'm not going to solve turbulence

1469
00:50:18,520 --> 00:50:21,080
modelling.

1470
00:50:21,160 --> 00:50:22,400
That was also a dream, too, at one

1471
00:50:22,400 --> 00:50:24,480
point. Like, "Oh, this model is going to

1472
00:50:24,480 --> 00:50:26,240
Everyone's going to use it. It'll be the

1473
00:50:26,240 --> 00:50:28,720
best thing to come along." But now, it's

1474
00:50:28,720 --> 00:50:30,120
it's um

1475
00:50:30,120 --> 00:50:33,200
So, just just

1476
00:50:33,520 --> 00:50:35,440
bow out gracefully at some point, say,

1477
00:50:35,440 --> 00:50:38,560
"Oh, well, this this is

1478
00:50:38,640 --> 00:50:40,360
Yeah, no, it's it's it's true, isn't it?

1479
00:50:40,360 --> 00:50:42,280
It's like almost

1480
00:50:42,280 --> 00:50:44,960
That's why I enjoy speaking to people

1481
00:50:44,960 --> 00:50:46,040
like

1482
00:50:46,040 --> 00:50:47,880
Florian or Philippe who

1483
00:50:47,880 --> 00:50:50,840
who are the rare individuals that you

1484
00:50:50,840 --> 00:50:52,600
could say have

1485
00:50:52,600 --> 00:50:55,960
done that thing of having a surname

1486
00:50:55,960 --> 00:50:58,160
after a model, but I guess the sad

1487
00:50:58,160 --> 00:51:00,280
reality is that for most people that is

1488
00:51:00,280 --> 00:51:01,920
never the case. And I I remember the

1489
00:51:01,920 --> 00:51:03,960
same thing during my PhD thing, "Oh,

1490
00:51:03,960 --> 00:51:06,040
yeah, well, if I sort of move this

1491
00:51:06,040 --> 00:51:07,920
equation around, if I can fit this line,

1492
00:51:07,920 --> 00:51:09,480
maybe this could be a new model." And

1493
00:51:09,480 --> 00:51:10,320
you know,

1494
00:51:10,320 --> 00:51:12,040
this could this could be it, but it's

1495
00:51:12,040 --> 00:51:13,560
actually much harder than you realize,

1496
00:51:13,560 --> 00:51:14,480
isn't it,

1497
00:51:14,480 --> 00:51:14,720
to do it?

1498
00:51:14,720 --> 00:51:16,920
Oh, yeah. Yeah, definitely.

1499
00:51:16,920 --> 00:51:18,920
And you know, it's respect to those

1500
00:51:18,920 --> 00:51:20,920
people, but I don't think whilst it's

1501
00:51:20,920 --> 00:51:22,960
amazing what they've done, I think

1502
00:51:22,960 --> 00:51:26,920
actually what you've done, which not to

1503
00:51:26,920 --> 00:51:28,720
uh put what you've done just in one

1504
00:51:28,720 --> 00:51:30,400
circle, but I think

1505
00:51:30,400 --> 00:51:31,840
where I genuinely think you've done a

1506
00:51:31,840 --> 00:51:32,960
lot of

1507
00:51:32,960 --> 00:51:35,320
help to the community is the curation of

1508
00:51:35,320 --> 00:51:36,480
knowledge.

1509
00:51:36,480 --> 00:51:38,080
You know, you can have the best models

1510
00:51:38,080 --> 00:51:39,800
in the world. You can do the best

1511
00:51:39,800 --> 00:51:41,280
research,

1512
00:51:41,280 --> 00:51:42,920
but I don't know if you've consciously

1513
00:51:42,920 --> 00:51:45,320
focused on this or not,

1514
00:51:45,320 --> 00:51:46,880
but you've seemed to have done a lot

1515
00:51:46,880 --> 00:51:49,240
about documenting it.

1516
00:51:49,240 --> 00:51:50,200
You know,

1517
00:51:50,200 --> 00:51:51,720
like when I look at what you've done

1518
00:51:51,720 --> 00:51:53,080
with the turbulence modelling website,

1519
00:51:53,080 --> 00:51:55,760
with the high-lift, with CGNS, with the

1520
00:51:55,760 --> 00:51:59,480
codes, like you seem to be very good at

1521
00:51:59,480 --> 00:52:02,480
documenting and curating that knowledge

1522
00:52:02,480 --> 00:52:04,560
and almost that public dissemination

1523
00:52:04,560 --> 00:52:06,880
knowledge. Is that a conscious

1524
00:52:06,880 --> 00:52:09,560
thing you do or you just sort of slipped

1525
00:52:09,560 --> 00:52:11,840
in to the to the

1526
00:52:11,840 --> 00:52:13,320
Probably probably just slipped slipped

1527
00:52:13,320 --> 00:52:15,440
in. Yeah. I mean, I saw the need for it

1528
00:52:15,440 --> 00:52:17,960
maybe and just did it because it it

1529
00:52:17,960 --> 00:52:19,760
seemed like the right thing to do. But,

1530
00:52:19,760 --> 00:52:22,240
I I I think kudos to you for that cuz

1531
00:52:22,240 --> 00:52:25,200
genuinely, if I look at all these

1532
00:52:25,200 --> 00:52:27,240
new methods, these new startups, new

1533
00:52:27,240 --> 00:52:30,280
methods, they almost all are showing

1534
00:52:30,280 --> 00:52:31,600
that they've validated their thing

1535
00:52:31,600 --> 00:52:34,080
against some basic turbulence modelling

1536
00:52:34,080 --> 00:52:35,640
website case.

1537
00:52:35,640 --> 00:52:38,560
They've almost all taken some high-lift

1538
00:52:38,560 --> 00:52:40,320
case and running it. And I know it's a

1539
00:52:40,320 --> 00:52:43,080
team effort, but a lot of that has been

1540
00:52:43,080 --> 00:52:45,440
basically put on a website, curated,

1541
00:52:45,440 --> 00:52:46,960
organized

1542
00:52:46,960 --> 00:52:49,280
by you and a few others. So, I would

1543
00:52:49,280 --> 00:52:52,120
argue whilst your surname may not be on

1544
00:52:52,120 --> 00:52:53,920
a particular turbulence model, I think

1545
00:52:53,920 --> 00:52:55,280
you've still actually had AI think you

1546
00:52:55,280 --> 00:52:58,280
can have a tap on the back for

1547
00:52:58,280 --> 00:53:00,120
for contributing. That's That's nice of

1548
00:53:00,120 --> 00:53:02,000
you to say that.

1549
00:53:02,000 --> 00:53:03,680
And I I think others would would agree

1550
00:53:03,680 --> 00:53:06,680
with me, too. So, I Yeah, I really um I

1551
00:53:06,680 --> 00:53:09,480
really appreciate you speaking and um I

1552
00:53:09,480 --> 00:53:10,880
have certainly learned something new. I

1553
00:53:10,880 --> 00:53:14,040
had no idea about the arc connection. I

1554
00:53:14,040 --> 00:53:16,560
didn't know that maybe you could have

1555
00:53:16,560 --> 00:53:20,200
been a spy. That's

1556
00:53:20,440 --> 00:53:21,240
Never too late.

1557
00:53:21,240 --> 00:53:24,080
Not a good one, though.

1558
00:53:24,360 --> 00:53:27,840
Um but, yeah, and uh I hope we can um

1559
00:53:27,840 --> 00:53:30,040
uh have a good chance to catch up at the

1560
00:53:30,040 --> 00:53:31,920
uh at the high-lift workshop.

1561
00:53:31,920 --> 00:53:32,360
Coming up.

1562
00:53:32,360 --> 00:53:34,120
a nice way to sort of I don't know about

1563
00:53:34,120 --> 00:53:36,480
you, but I'm after that, I feel like I

1564
00:53:36,480 --> 00:53:38,480
need to have a break. I think August

1565
00:53:38,480 --> 00:53:39,960
will be a a good time for Yeah, this

1566
00:53:39,960 --> 00:53:43,200
next month is not going to be fun for

1567
00:53:43,200 --> 00:53:43,480
Yeah.

1568
00:53:43,480 --> 00:53:45,160
collecting everything and

1569
00:53:45,160 --> 00:53:46,160
getting it ready.

1570
00:53:46,160 --> 00:53:47,160
Yeah.

1571
00:53:47,160 --> 00:53:48,280
Brilliant. Thanks Chris. Really

1572
00:53:48,280 --> 00:53:50,080
appreciate it.

1573
00:53:50,080 --> 00:53:51,120
Sure Neil.

1574
00:53:51,120 --> 00:53:52,120
Cheers.

1575
00:53:52,120 --> 00:53:54,400
Cheers.

1576
00:54:16,920 --> 00:54:19,120
Yeah.
