He didn't. He was always slow.
That's not fair.
If this report is true, it is a step in the right direction. RB is at the forefront of simulation tools in F1 and I suspect they will not be overthrown, ever. One or two teams might come to share the leading position with RB, but as long as their culture remains that of relentless pursuit of improvement in all aspects, they won't be beaten.t is no longer sufficient to find a good iteration between data collected on the track with aerodynamic tests and indoor work carried out in CFD, wind tunnels, and the driving simulator. The construction of mathematical models becomes essential to help be predictive of reality, indicating possible development directions. We are talking about applied sciences in which the divisions between one field of research and another can become increasingly blurred, reaching ever more coordinated and precise integrations. And then, it becomes easy to understand that we are not only facing a turnover phase of technicians, but the entry of fresh forces, young recruits from top teams like Mercedes and Red Bull, brings with it the need to review processes and work organization in line with these new requirements.
We are talking about skills, therefore, but also about new sophisticated software that has been implemented in various positions in 2023 to offer technicians the opportunity to act in simulation on three fronts: performance, reliability, and safety.
Same is confirmed by F. Nugnes.Vanja #66 wrote: ↑04 Dec 2023, 20:37Ferrari to expand simulation programs: new software for incoming technicians
https://scuderiafans.com/f1-ferrari-to- ... chnicians/
If this report is true, it is a step in the right direction. RB is at the forefront of simulation tools in F1 and I suspect they will not be overthrown, ever. One or two teams might come to share the leading position with RB, but as long as their culture remains that of relentless pursuit of improvement in all aspects, they won't be beaten.t is no longer sufficient to find a good iteration between data collected on the track with aerodynamic tests and indoor work carried out in CFD, wind tunnels, and the driving simulator. The construction of mathematical models becomes essential to help be predictive of reality, indicating possible development directions. We are talking about applied sciences in which the divisions between one field of research and another can become increasingly blurred, reaching ever more coordinated and precise integrations. And then, it becomes easy to understand that we are not only facing a turnover phase of technicians, but the entry of fresh forces, young recruits from top teams like Mercedes and Red Bull, brings with it the need to review processes and work organization in line with these new requirements.
We are talking about skills, therefore, but also about new sophisticated software that has been implemented in various positions in 2023 to offer technicians the opportunity to act in simulation on three fronts: performance, reliability, and safety.
Honestly, so far it's not easy to find a wrong move made by Vasseur. It's also not an easy thing to introduce new things in a big and often too rigid structure such as Ferrari, so even if some thing should have been done quicker - that may not have been possible...
Hm, I wonder if that partnership with Oracle is actually deeper than it seems.. perhaps RB got some talent from Silicon Valley to do some simulation wizardryFDD wrote: ↑04 Dec 2023, 22:30Same is confirmed by F. Nugnes.Vanja #66 wrote: ↑04 Dec 2023, 20:37Ferrari to expand simulation programs: new software for incoming technicians
https://scuderiafans.com/f1-ferrari-to- ... chnicians/
If this report is true, it is a step in the right direction. RB is at the forefront of simulation tools in F1 and I suspect they will not be overthrown, ever. One or two teams might come to share the leading position with RB, but as long as their culture remains that of relentless pursuit of improvement in all aspects, they won't be beaten.t is no longer sufficient to find a good iteration between data collected on the track with aerodynamic tests and indoor work carried out in CFD, wind tunnels, and the driving simulator. The construction of mathematical models becomes essential to help be predictive of reality, indicating possible development directions. We are talking about applied sciences in which the divisions between one field of research and another can become increasingly blurred, reaching ever more coordinated and precise integrations. And then, it becomes easy to understand that we are not only facing a turnover phase of technicians, but the entry of fresh forces, young recruits from top teams like Mercedes and Red Bull, brings with it the need to review processes and work organization in line with these new requirements.
We are talking about skills, therefore, but also about new sophisticated software that has been implemented in various positions in 2023 to offer technicians the opportunity to act in simulation on three fronts: performance, reliability, and safety.
Honestly, so far it's not easy to find a wrong move made by Vasseur. It's also not an easy thing to introduce new things in a big and often too rigid structure such as Ferrari, so even if some thing should have been done quicker - that may not have been possible...
https://it.motorsport.com/f1/news/f1-si ... /10554975/
This part is quite interesting to me:
"The construction of mathematical models that help to be predictive of reality, indicating possible lines of development, becomes fundamental."
Prediction with mathematical modeling is theoretically possible but very hard to achieve in reality.
It is rock and a hard place to model/predict variables that has impact on the model, that is the key in mathematical prediction.
That means to forecast errors i.e. variations of the environment, predictions of quality and quantity of variations that will have impact on the model, BUT they still doesn't happen. The only source is to model them on historical data and that data has variations in the history and also interactions between different variables must be estimated and of the top of that impact of these exogens on the endogen i.e. the car for which you have data but it is also a complex system.
The crucial part of the model is the exogen which means to model something that never occurred.
I am very interested what and how they do in the process of mathematical modeling.
Obviously RB find something that is functioning real well or better to say useful.
"All models are wrong, but some are useful", George Box
You can always improve the mathematical models, simplest thing is to introduce new variables. You can also establish new and improved "fit" functions for all parameters. This is especially important in car dynamics models, I imagine. The better the input, the better the output. With more input and complex calculations required, the more computing power you need, so you also need to improve that from time to time.FDD wrote: ↑04 Dec 2023, 22:30Same is confirmed by F. Nugnes.
https://it.motorsport.com/f1/news/f1-si ... /10554975/
This part is quite interesting to me:
"The construction of mathematical models that help to be predictive of reality, indicating possible lines of development, becomes fundamental."
Prediction with mathematical modeling is theoretically possible but very hard to achieve in reality.
It is rock and a hard place to model/predict variables that has impact on the model, that is the key in mathematical prediction.
That means to forecast errors i.e. variations of the environment, predictions of quality and quantity of variations that will have impact on the model, BUT they still doesn't happen. The only source is to model them on historical data and that data has variations in the history and also interactions between different variables must be estimated and of the top of that impact of these exogens on the endogen i.e. the car for which you have data but it is also a complex system.
The crucial part of the model is the exogen which means to model something that never occurred.
I am very interested what and how they do in the process of mathematical modeling.
Obviously RB find something that is functioning real well or better to say useful.
"All models are wrong, but some are useful", George Box
Yes, more than sure that they hired some people from software companies.Vanja #66 wrote: ↑05 Dec 2023, 13:51
You can always improve the mathematical models, simplest thing is to introduce new variables. You can also establish new and improved "fit" functions for all parameters. This is especially important in car dynamics models, I imagine. The better the input, the better the output. With more input and complex calculations required, the more computing power you need, so you also need to improve that from time to time.
CFD simulations are complex as they are and you can make a lot of improvements by improving the selection of car attitudes that you simulate, more or less yaw angles, more or less roll angles, steering angles, tyre deformation, bodywork deformation, etc. This is just the basic stuff... With the introduction of teraflop limits (it feels it's been ages already ) it became very important to optimise the calculations and make sure you can make them as fast as possible. With less and less reliance on wind tunnel and almost non-existent track testing, CFD is ever more important, closely followed by car simulator. Also, your turbulence models need correction every few months to fit the latest track-information. These are not big changes, but everything counts...
All of this and much more is where RB is ahead. They entered F1 when testing, WT and CFD limits have just begun, so it's logical to assume they put more focus on computation tools right away. I heard they hired some people from simulation software companies to help them improve in this area as soon as they entered F1, not sure if they keep feeding personnel from those companies on a regular basis.
That sounds like a terrible idea to me. The only restriction that makes sense is the budget cap and I hope one day they will scrap the sliding scale aero system. It's becoming too much of a success ballast formula.Vanja #66 wrote: ↑05 Dec 2023, 20:28It would be a step in the right direction if FIA and F1 decide to limit the simulator work just as they are limiting the aero testing. It would allow smaller teams to further reduce the gap and we would probably end up with multiple teams winning at least one GP every season.
Ah, I see where the confusion is. I didn't mean the sliding scale we have today, just the overall limit on CFD and WT time. Limit the drivers to some hours on the simulator per week and limit the number of variables the simulator takes into account. Just a thought...AR3-GP wrote: ↑05 Dec 2023, 21:47That sounds like a terrible idea to me. The only restriction that makes sense is the budget cap and I hope one day they will scrap the sliding scale aero system. It's becoming too much of a success ballast formula.
If we started off saying it wasn't fair for Ferrari/Merc/RB to have so much resources, it is no more fair for the leading teams to have much less resources.
I would rather live with standardized computational tools, than unequal resources.
Slower than LEC, but not slow in general. He is a solid mid to upper midfield driver.
You mean Leclerc? An option for 2029 is mentioned