Local/global non-intrusive coupling strategy for robust design: a first attempt

Abstract This work investigates how non-intrusive local/global coupling strategies can be applied in the context of robust design. The objective is to propagate uncertainties from the local to the global scale using non-intrusive techniques, in order to estimate how local variabilities impact global quantities. Several uncertainty propagation methods, including perturbation techniques, polynomial chaos expansions, and Monte-Carlo simulations, are tested and compared on academic examples. Depending on the level of uncertainty, perturbation methods and non-intrusive polynomial chaos expansions appear particularly effective. A key issue in extending the approach to more complex and computationally intensive problems is the ability to exploit non-converged solutions to approach robust design configurations. A preliminary step in this direction is proposed at the end of the paper and provides a good basis for future work on more complex and realistic problems with associated challenges.

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Publication Details

Journal
Advanced Modeling and Simulation in Engineering Sciences
Published
2025-07-16
DOI
https://doi.org/10.1186/s40323-025-00302-9
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
0.00
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article

Local/global non-intrusive coupling strategy for robust design: a first attempt

Olivier Allix, Stéphane Guinard, Ludovic Chamoin, Léa Karaouni
Advanced Modeling and Simulation in Engineering Sciences
Probabilistic and Robust Engineering Design
article

Local/global non-intrusive coupling strategy for robust design: a first attempt

Olivier Allix, Stéphane Guinard, Ludovic Chamoin, Léa Karaouni
article en

Abstract

Abstract This work investigates how non-intrusive local/global coupling strategies can be applied in the context of robust design. The objective is to propagate uncertainties from the local to the global scale using non-intrusive techniques, in order to estimate how local variabilities impact global quantities. Several uncertainty propagation methods, including perturbation techniques, polynomial chaos expansions, and Monte-Carlo simulations, are tested and compared on academic examples. Depending on the level of uncertainty, perturbation methods and non-intrusive polynomial chaos expansions appear particularly effective. A key issue in extending the approach to more complex and computationally intensive problems is the ability to exploit non-converged solutions to approach robust design configurations. A preliminary step in this direction is proposed at the end of the paper and provides a good basis for future work on more complex and realistic problems with associated challenges.

Advanced Modeling and Simulation in Engineering SciencesVol. 12(1)
Airbus (France) (FR), Centre National de la Recherche Scientifique (FR), Université Paris-Saclay (FR), CentraleSupélec (FR), Laboratoire de Mécanique Paris-Saclay (FR)
Openalex Percentile: Top 83%
Probabilistic and Robust Engineering Design
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