Shape optimisation for aerodynamic performance using adjoint methods

Wade, A.; Keating, M.; Petrone, G.

doi:10.1533/9780081002452.4.139

Cited by 2 publications

(3 citation statements)

References 3 publications

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“…If Equation ( 11) is substituted into Equation (10), then the derivative of the objective function can be obtained from the design variables:…”

Section: Adjoint Approach To Optimisationmentioning

confidence: 99%

“…In the literature, one can find optimisation studies such as [8], where a front wing with a single airfoil is optimised via the adjoint method without FIA regulatory rules. This front wing was also optimised in [9,10], but this time under uncertain conditions. Uncertainty in front wing designs was also considered in [11], who conducted aerodynamic analysis under a datadriven Polynomial Chaos approach for scarce data, namely SAMBA.…”

Section: Introductionmentioning

confidence: 99%

“…Whilst they considered a one-element wing and no competition regulations, the present work considers a complex five-element scenario plus the restrictive FIA 2021 regulations. Additional details of the problem studied in [9] can be found in [10]. Other relevant applications using MM-RBF similar to the problem considered in the present manuscript are the aerodynamic optimisation of a motorbike windshield [3], where variations in the mesh were made according to variations in the height of the rider, the hunching angle of the rider, and the adjustment of a variotouring acting on the deflector angle; or [52], where the 50:50:50 method is described in aerodynamic optimisation environments (50 designs, 50 million cells per design, 50h of elapsed time).…”

Section: Introductionmentioning

confidence: 99%

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Two-Dimensional-Based Hybrid Shape Optimisation of a 5-Element Formula 1 Race Car Front Wing under FIA Regulations

et al. 2023

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Front wings are a key element in the aerodynamic performance of Formula 1 race cars. Thus, their optimisation makes an important contribution to the performance of cars in races. However, their design is constrained by regulation, which makes it more difficult to find good designs. The present work develops a hybrid shape optimisation approach to obtain an optimal five-element airfoil front wing under the FIA regulations and 17 design parameters. A first baseline design is obtained by parametric optimisation, on which the adjoint method is applied for shape optimisation via Mesh Morphing with Radial Basis Functions. The optimal front wing candidate obtained outperforms the parametric baseline up to a 25% at certain local positions. This shows that the proposed and tested hybrid approach can be a very efficient alternative. Although a direct 3D optimisation approach could be developed, the computational costs would be dramatically increased (possibly unaffordable for such a complex five-element front wing realistic shape with 17 design parameters and regulatory constraints). Thus, the present approach is of strong interest if the computational budget is low and/or a fast new front wing design is desired, which is a frequent scenario in Formula 1 race car design.

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“…If Equation ( 11) is substituted into Equation (10), then the derivative of the objective function can be obtained from the design variables:…”

Section: Adjoint Approach To Optimisationmentioning

confidence: 99%