Institution
International Facility Management Association
About: International Facility Management Association is a based out in . It is known for research contribution in the topics: Machining & Finite element method. The organization has 678 authors who have published 766 publications receiving 11662 citations.
Papers published on a yearly basis
Papers
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TL;DR: A non intrusive method that builds a sparse PC expansion, which may be obtained at a reduced computational cost compared to the classical ''full'' PC approximation.
1,112 citations
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TL;DR: A non-intrusive method that builds a sparse PC expansion and an adaptive regression-based algorithm is proposed for automatically detecting the significant coefficients of the PC expansion in a suitable polynomial chaos basis.
710 citations
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TL;DR: In this paper, the authors propose to use a Kriging surrogate for the performance function as a means to build a quasi-optimal importance sampling density, which can be applied to analytical and finite element reliability problems and proves efficient up to 100 basic random variables.
389 citations
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TL;DR: A new approach for estimating small failure probabilities by considering subset simulation proposed by S.-K.
356 citations
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TL;DR: The aim of the present paper is to develop a strategy for solving reliability-based design optimization (RBDO) problems that remains applicable when the performance models are expensive to evaluate.
Abstract: The aim of the present paper is to develop a strategy for solving reliability-based design optimization (RBDO) problems that remains applicable when the performance models are expensive to evaluate. Starting with the premise that simulation-based approaches are not affordable for such problems, and that the most-probable-failure-point-based approaches do not permit to quantify the error on the estimation of the failure probability, an approach based on both metamodels and advanced simulation techniques is explored. The kriging metamodeling technique is chosen in order to surrogate the performance functions because it allows one to genuinely quantify the surrogate error. The surrogate error onto the limit-state surfaces is propagated to the failure probabilities estimates in order to provide an empirical error measure. This error is then sequentially reduced by means of a population-based adaptive refinement technique until the kriging surrogates are accurate enough for reliability analysis. This original refinement strategy makes it possible to add several observations in the design of experiments at the same time. Reliability and reliability sensitivity analyses are performed by means of the subset simulation technique for the sake of numerical efficiency. The adaptive surrogate-based strategy for reliability estimation is finally involved into a classical gradient-based optimization algorithm in order to solve the RBDO problem. The kriging surrogates are built in a so-called augmented reliability space thus making them reusable from one nested RBDO iteration to the other. The strategy is compared to other approaches available in the literature on three academic examples in the field of structural mechanics.
354 citations
Authors
Showing all 678 results
Name | H-index | Papers | Citations |
---|---|---|---|
Christophe Caux | 74 | 232 | 30760 |
Bruno Sudret | 42 | 272 | 9481 |
Philippe Martinet | 37 | 290 | 4822 |
Nicolas Andreff | 27 | 156 | 2624 |
Maxime Lhuillier | 26 | 62 | 3102 |
Seifedine Kadry | 26 | 436 | 3668 |
Youcef Mezouar | 25 | 188 | 2799 |
Evelyne Toussaint | 23 | 109 | 2033 |
Xavier Balandraud | 23 | 113 | 1278 |
François Weiss | 22 | 166 | 1693 |
Emmanuel Duc | 20 | 76 | 1541 |
Pierre Renaud | 20 | 112 | 1354 |
Pascal Ray | 20 | 65 | 1620 |
Maurice Lemaire | 19 | 47 | 3246 |
J.-B. Le Cam | 19 | 32 | 1028 |