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pro vyhledávání: '"Moustapha, M."'
Autor:
Moustapha, M., Sudret, B.
Surrogate models have shown to be an extremely efficient aid in solving engineering problems that require repeated evaluations of an expensive computational model. They are built by sparsely evaluating the costly original model and have provided a wa
Externí odkaz:
http://arxiv.org/abs/2211.16909
Publikováno v:
Struct Multidisc Optim 65, 357 (2022)
Explicitly accounting for uncertainties is paramount to the safety of engineering structures. Optimization which is often carried out at the early stage of the structural design offers an ideal framework for this task. When the uncertainties are main
Externí odkaz:
http://arxiv.org/abs/2203.01996
Publikováno v:
Structural Safety, 102174 (2022)
Active learning methods have recently surged in the literature due to their ability to solve complex structural reliability problems within an affordable computational cost. These methods are designed by adaptively building an inexpensive surrogate o
Externí odkaz:
http://arxiv.org/abs/2106.01713
Publikováno v:
Reliability Engineering & System Safety, 203, November 2020, 107033
Several methods have been proposed in the literature to solve reliability-based optimization problems, where failure probabilities are design constraints. However, few methods address the problem of life-cycle cost or risk optimization, where failure
Externí odkaz:
http://arxiv.org/abs/2007.03942
Autor:
Moustapha, M., Sudret, B.
Reliability-based design optimization (RBDO) is an active field of research with an ever increasing number of contributions. Numerous methods have been proposed for the solution of RBDO, a complex problem that combines optimization and reliability an
Externí odkaz:
http://arxiv.org/abs/1901.03311
The main aim of the present paper is to establish an integral transform connecting spherical analysis on harmonic NA groups to that of odd dimensional real hyperbolic spaces. Moreover, certain interesting integral identities for the Gauss hypergeomet
Externí odkaz:
http://arxiv.org/abs/1708.03160
Uncertainties are inherent to real-world systems. Taking them into account is crucial in industrial design problems and this might be achieved through reliability-based design optimization (RBDO) techniques. In this paper, we propose a quantile-based
Externí odkaz:
http://arxiv.org/abs/1605.08978
Autor:
Moustapha, M., Sudret, B.
Publikováno v:
Computers & Structures, 281
Surrogate models have shown to be an extremely efficient aid in solving engineering problems that require repeated evaluations of an expensive computational model. They are built by sparsely evaluating the costly original model and have provided a wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e414e9ebf96116cd3dc305246afb862
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