Disciplinary Proper Orthogonal Decomposition and Interpolation for the resolution of parametrized Multidisciplinary Analysis - X-OAD -eXtended-Overall Aircraft Design Accéder directement au contenu
Article Dans Une Revue International Journal for Numerical Methods in Biomedical Engineering Année : 2022

Disciplinary Proper Orthogonal Decomposition and Interpolation for the resolution of parametrized Multidisciplinary Analysis

Résumé

This article proposes a new method for the resolution of parametrized multidisciplinary analysis (MDA) using disciplinary surrogate models within a multi-query context. The main idea is to replace the costly disciplinary solvers of the MDA by Proper Orthogonal Decomposition and Interpolation models. The main challenge we address is the high dimensional coupling variables whose ranges are unknown. To overcome this issue, a training strategy is developed by uncoupling the disciplinary solvers from the MDA context. This new surrogate MDA called Disciplinary Proper Orthogonal Decomposition and Interpolation (DPOD+I) is iteratively enriched to solve the analysis with an estimation of the error made by the surrogate model. The disciplinary surrogate model which has the most influence on this error is determined by a sensitivity analysis and thus enriched. This approach allows to uncouple the disciplinary solvers during the training and enrichment phases. The approach is applied to various aeroelastic problems of an aircraft wing and allows to reduce by a factor 5 the mean number of disciplinary solver calls needed for the resolution of the MDA.
Fichier principal
Vignette du fichier
DTIS21146.pdf (1.07 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03274761 , version 1 (01-07-2021)
hal-03274761 , version 2 (23-11-2022)

Identifiants

  • HAL Id : hal-03274761 , version 2

Citer

Gaspard Berthelin, Sylvain Dubreuil, Michel Salaün, Nathalie Bartoli, Christian Gogu. Disciplinary Proper Orthogonal Decomposition and Interpolation for the resolution of parametrized Multidisciplinary Analysis. International Journal for Numerical Methods in Biomedical Engineering, 2022. ⟨hal-03274761v2⟩
195 Consultations
210 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More