Sensitivity Analysis and Multiobjective Optimization for LES Numerical Parameters

Author:

Jouhaud J.-C.1,Sagaut P.2,Enaux B.1,Laurenceau J.1

Affiliation:

1. Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS), 42 Avenue Gaspard Coriolis, 31057 Toulouse Cedex, France

2. Institut Jean Le Rond d’Alembert, Université Pierre et Marie Curie, 4 place Jussieu-case 162, F-75252 Paris Cedex 05, France

Abstract

Accuracy and reliability of large-eddy simulation data in a really complex industrial geometry are invesigated. An original methodology based on a response surface for LES data is introduced. This surrogate model for the full LES problem is built using the Kriging technique, which enables a low-cost optimal linear interpolation of a restricted set of large-eddy simulation (LES) solutions. Therefore, it can be used in most realistic industrial applications. Using this surrogate model, it is shown that (i) optimal sets of simulation parameters (subgrid model constant and artificial viscosity parameter in the present case) can be found; (ii) optimal values, as expected, depend on the cost functional to be minimized. Here, a realistic approach, which takes into account experimental data sparseness, is introduced. It is observed that minimization of the error evaluated using a too small subset of reference data may yield a global deterioration of the results.

Publisher

ASME International

Subject

Mechanical Engineering

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