Local/global non-intrusive coupling strategy for robust design: a first attempt
-д хадгалсан:
| -д хэвлэсэн: | Advanced Modeling and Simulation in Engineering Sciences vol. 12, no. 1 (Dec 2025), p. 19 |
|---|---|
| Үндсэн зохиолч: | |
| Бусад зохиолчид: | , , |
| Хэвлэсэн: |
Springer Nature B.V.
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| Нөхцлүүд: | |
| Онлайн хандалт: | Citation/Abstract Full Text Full Text - PDF |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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MARC
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| 022 | |a 2213-7467 | ||
| 024 | 7 | |a 10.1186/s40323-025-00302-9 |2 doi | |
| 035 | |a 3230618044 | ||
| 045 | 2 | |b d20251201 |b d20251231 | |
| 084 | |a 242428 |2 nlm | ||
| 100 | 1 | |a Karaouni, Léa |u Université Paris-Saclay, CentraleSupélec, ENS Paris-Saclay, Gif-sur-Yvette, France (GRID:grid.494567.d) (ISNI:0000 0004 4907 1766) | |
| 245 | 1 | |a Local/global non-intrusive coupling strategy for robust design: a first attempt | |
| 260 | |b Springer Nature B.V. |c Dec 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 653 | |a Propagation | ||
| 653 | |a Design optimization | ||
| 653 | |a Simulation | ||
| 653 | |a Configuration management | ||
| 653 | |a Robust design | ||
| 653 | |a Monte Carlo simulation | ||
| 653 | |a Polynomials | ||
| 653 | |a Decomposition | ||
| 653 | |a Methods | ||
| 653 | |a Finite element analysis | ||
| 653 | |a Algorithms | ||
| 653 | |a Uncertainty | ||
| 653 | |a Probability distribution | ||
| 653 | |a Perturbation methods | ||
| 653 | |a Coupling | ||
| 700 | 1 | |a Chamoin, Ludovic |u Université Paris-Saclay, CentraleSupélec, ENS Paris-Saclay, Gif-sur-Yvette, France (GRID:grid.494567.d) (ISNI:0000 0004 4907 1766) | |
| 700 | 1 | |a Allix, Olivier |u Université Paris-Saclay, CentraleSupélec, ENS Paris-Saclay, Gif-sur-Yvette, France (GRID:grid.494567.d) (ISNI:0000 0004 4907 1766) | |
| 700 | 1 | |a Guinard, Stéphane |u Airbus Group Innovations, Blagnac Cedex, France (GRID:grid.424413.4) (ISNI:0000 0004 0500 3075) | |
| 773 | 0 | |t Advanced Modeling and Simulation in Engineering Sciences |g vol. 12, no. 1 (Dec 2025), p. 19 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3230618044/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3230618044/fulltext/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3230618044/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |