Sensitivity analysis and multiobjective optimization for LES numerical parameters / J.-C. Jouhaud in Transactions of the ASME . Journal of fluids engineering, Vol. 130 N° 2 (Fevrier 2008)  

Public ISBD [article]  inTransactions of the ASME . Journal of fluids engineering > Vol. 130 N° 2 (Fevrier 2008) . - 9 p. Titre : Sensitivity analysis and multiobjective optimization for LES numerical parameters Type de document : texte imprimé Auteurs : J.-C. Jouhaud, Auteur ; P. Sagaut, Auteur ; B. Enaux, Auteur Année de publication : 2009 Article en page(s) : 9 p. Note générale : Fluids engineering Langues : Anglais (eng) Mots-clés : Optimization  errors  functions  response surface methodology  flow (dynamics)  sensitivity analysis  pareto optimization  viscosity  simulation Résumé : 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. En ligne : http://fluidsengineering.asmedigitalcollection.asme.org/issue.aspx?journalid=122 [...] [article] Sensitivity analysis and multiobjective optimization for LES numerical parameters [texte imprimé] / J.-C. Jouhaud, Auteur ; P. Sagaut, Auteur ; B. Enaux, Auteur . - 2009 . - 9 p. Fluids engineering Langues : Anglais (eng) in Transactions of the ASME . Journal of fluids engineering > Vol. 130 N° 2 (Fevrier 2008) . - 9 p. Mots-clés : Optimization  errors  functions  response surface methodology  flow (dynamics)  sensitivity analysis  pareto optimization  viscosity  simulation Résumé : 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. En ligne : http://fluidsengineering.asmedigitalcollection.asme.org/issue.aspx?journalid=122 [...]

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