| contributor author | Drouet, Vincent | |
| contributor author | Balesdent, Mathieu | |
| contributor author | Brevault, Loïc | |
| contributor author | Dubreuil, Sylvain | |
| contributor author | Morio, Jérôme | |
| date accessioned | 2023-11-29T19:29:59Z | |
| date available | 2023-11-29T19:29:59Z | |
| date copyright | 5/17/2023 12:00:00 AM | |
| date issued | 5/17/2023 12:00:00 AM | |
| date issued | 2023-05-17 | |
| identifier issn | 1050-0472 | |
| identifier other | md_145_7_071703.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4294813 | |
| description abstract | The present article proposes an algorithm for the sensitivity analysis of a multidisciplinary problem, in which the derivative-based global sensitivity indices are computed with multifidelity Gaussian process models. Two levels of fidelity are used to estimate the indices, where the low-fidelity samples are obtained by stopping the multidisciplinary analysis solver before convergence. A dedicated refinement strategy for the multifidelity Gaussian process is proposed to ensure the accuracy of the sensitivity index estimation. This algorithm is tested on three multidisciplinary problems of increasing complexity (one analytical and two representative engineering design problems), and proved to be both reliable in detecting the noninfluential variables and computationally efficient, compared to classical Monte Carlo integration and to three other candidate algorithms. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Multifidelity Algorithm for the Sensitivity Analysis of Multidisciplinary Problems | |
| type | Journal Paper | |
| journal volume | 145 | |
| journal issue | 7 | |
| journal title | Journal of Mechanical Design | |
| identifier doi | 10.1115/1.4062332 | |
| journal fristpage | 71703-1 | |
| journal lastpage | 71703-13 | |
| page | 13 | |
| tree | Journal of Mechanical Design:;2023:;volume( 145 ):;issue: 007 | |
| contenttype | Fulltext | |
