Formula One - The Engineering Race Evolution in virtual & physical testing over the last 15 years
Torbjörn Larsson Creo Dynamics AB
How F1 has influenced CAE development by pushing boundaries working at the “bleeding edge”
But now lost the edge?
Torbjörn Larsson Creo Dynamics AB
Starting Grid
P1 Altair & Creo Dynamics
P3 Aerodynamics
P5 Supercomputing
The haydays and the future
P2 Introduction to Formula One
P4 Evolution of CFD in F1
P6 Beating the rules
The DNA of F1
• Built upon philosophy, technology and lessons learned in F1
• Leverage via networking and technical collaboration with academia and industry
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CFD @ Creo Dynamics
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Evolution of F1 cars since 1950 Red cars only
• Formula One is a highly regulated sport and the car basic dimensions are dictated by the FIA technical regulations.
• Car shaping is primarily driven by aerodynamic efficiency.
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Car Shape Evolution
2009 Rule Change of FIA Technical Regulation
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Car Shape Evolution
2009 2008
The immediate effect; a dramatic loss of downforce (~50%)
The Performance of the Package
Driver
Grip - Tyres, Suspension, etc.
Vehicle Mass and Centre of Gravity
Engine and Transmission of Power
Aerodynamics
Electronics, Hydraulics, Pneumatics
% CHANGE IN LAP TIME
• +5% of Tyre Grip Average = -1.62
• -5% of Weight Average = -0.96
• +5% of Power Average = -0.74
• +5% Aerodynamic Efficiency = -0.52
Effect of Performance Factors on Lap Time
Aerodynamics
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2009
Aerodynamics
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Flow Physics
– Strong vorticies and wake flow
– Separated flows
– High lifting wings
– Ground effect
– Flow interactions
Shape Complexity
– Geometrical details
– Large range of scales
– Small clearances (ground, tire seals)
– Deformations and aero-elastic effects
Aerodynamics
Aerodynamics Performance Propels the Development in Formula One
‐ Extremely high development pace
‐ Continuous and incremental design evolution
‐ Combined use of physical and virtual testing (Track, WT, CFD)
‐ State-of-the-art technology
Ultra-competitive industry which has become a competition in engineering excellence.
F1 has acted as catalyst in developing state-of-the-art CFD techniques over the last decade.
Having the upper hand in simulation driven design is key to success in F1.
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CFD Requirements
• High development pace
Short turn-around time required for CFD to have an influence
• Incremental design approach
Sufficient accuracy and fidelity in the CFD results required to pick-up the correct trends from sequences of small design changes
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Conflicting and challenging constraints!
CFD
Formula One - an Early Adopter of New Technology
• Large scale unstructured meshing
• Parallel efficiency of meshing, solving and post-processing tools
• Moving mesh and mesh morphing algorithms
• Efficient solvers and solving schemes
• Tuning and tailoring of turbulence models (high-lifting wings, transition, wake flows)
• Adjoint solvers
• FSI
• Automation and scripting
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Simulation Tools Track Testing
Simulation Tools Wind Tunnel & CFD
• Extremely high development pace Teams operating with ~100 people to support the aerodynamics development in the wind tunnel
• Wind tunnels run 24/7 (not true anymore)
• Very short project lead times New parts on the car for every race (every 2nd weekend)
Evolution of CFD Usage in F1 The past …
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?
Supercomputing in F1 The race begins ..
In 2005 the Sauber F1 team introduced Albert …
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530 cores 2 TFlops
Supercomputing in F1 The race begins ..
2006 Albert2 1024 cores 12 TFlops (#60 on Top 500 list)
2008 Albert3 4224 cores 58 TFlops (#45 on Top 500 list)
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Supercomputing in F1 The race begins ..
Formula 1 Supercomputer Championship 2008 (by TFLOPS)
• BMW Sauber F1 Team: Albert3, 4224 cores (Intel Xeon)
• Renault F1 Team: Appro Xtreme-X2, 1024 sockets, 4096 cores (AMD QC Opteron)
• Ferrari : Acer/IBM/Racksaver, 1000+ processor sockets (upgrading to QC Opteron)
• McLaren: Silicon Graphics Altix, 512 Sockets, 1024 cores (Intel Itanium 2)
• Red Bull: IBM, 512 sockets, 1024 core (upgrading to AMD QC Opteron)
• Toyota F1 Team: Fujitsu, 320 Sockets, 640 cores (Intel Itanium 2)
• WilliamsF1: Lenovo Unnamed, 332 Sockets, 664 cores (Intel Xeon 5100)
• Honda F1 Racing: SGI Altix ICE, unknown number of socket/cores, water-cooled Quad-Core Intel Xeon
• Toro Rosso: N/A (uses Red Bull infrastructure)
• Super Aguri: N/A (uses Honda F1 infrastructure)
• Force India: Rental system (unknown specifications)
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FIA & FOTA rules
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FOTA
Bigger computers, new wind tunnels – the costs of F1 are escalating … • Budget Cap? • Limit Testing?
2009 FOTA imposed limitations on aerodynamic testing and CFD.
FIA New Technical Regulations 2009
Driving forces behind the new regulations • Cost reduction (FOTA)
• Improve the on-track spectacle – promote overtaking
“Decrease reliance on aerodynamic downforce and increase mechanical grip with the aim of making wheel-to-wheel racing easier”
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FOTA Rules Wind tunnel & CFD limits
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Sauber 2008
FOTA Rules Implications on hardware
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What is TFLOPS?
1012 Floating Point Operations per Second
FLOPS = Clock X Operations/Cycle X Cores (Theoretical Peak Performance)
CPU Clock (GHz) operations/clock no of cores/socket TFLOPS
Intel E5 2699 2,3 16 18 0,6624
With a budget cap at 25 Tflops, teams would be maxed out at 38 CPUs (or 679 cores)!
FOTA Rules Implications on hardware
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Already in 2008, teams were operating 4000+ cores clusters.
Today - are they running much smaller clusters?
Not necessarily, Formula One is all about “beating the regulations”.
FLOPS = Clock X Operations/cycle X Cores (Theoretical Peak Performance)
What counts is the simulation through-put. So, the question becomes;
How can one design and optimize a HW/SW combo that maximizes through-put at minimum FLOPS?
Have F1 lost the edge? Exponential growth of supercomputing power - Top 500 List
“The rest of the world is advancing CFD and HPC, tackling ever larger and more complex problems, taking full benefit of latest technology and Moore’s Law”.
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Contact Details
Creo Dynamics AB Linköping
Westmansgatan 37A SE-582 16 Linköping
Sweden www.creodynamics.com
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