Two-Dimensional Aerodynamic Optimization Using the Discrete Adjoint Method with or without Parameterization

Abstract : An optimization method based on the use of the derivatives of functional outputs with respect to (w.r.t.) solid body mesh nodes is presented. These derivatives are obtained by a discrete adjoint method that first computes the derivatives of functional outputs w.r.t. all volume mesh nodes. They are smoothed before being used in a numerical optimization algorithm. The procedure is demonstrated for a 2D flow governed by the compressible Reynolds-Averaged Navier-Stokes equations (RANS) completed by the Spalart-Allmaras turbulence model. Discrete derivatives are computed with or without making the frozen eddy-viscosity assumption. The design algorithm is compared with a more classical one using design variables related to B-splines on the four test cases introduced by Kim et al.1
Type de document :
Communication dans un congrès
41st AIAA Fluid Dynamics Conference and Exhibit, Jun 2011, Honolulu, United States. 2011
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https://hal.inria.fr/hal-00764562
Contributeur : Jean-Antoine Désidéri <>
Soumis le : jeudi 13 décembre 2012 - 10:52:10
Dernière modification le : jeudi 11 janvier 2018 - 16:03:47

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  • HAL Id : hal-00764562, version 1

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Manuel Bompard, Jacques Peter, Frédéric Renac, Gérald Carrier, Jean-Antoine Désidéri. Two-Dimensional Aerodynamic Optimization Using the Discrete Adjoint Method with or without Parameterization. 41st AIAA Fluid Dynamics Conference and Exhibit, Jun 2011, Honolulu, United States. 2011. 〈hal-00764562〉

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