An active-learning algorithm that combines sparse polynomial chaos
expansions and bootstrap for structural reliability analysis

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An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis

5 September 2017

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Papers citing "An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis"

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Title
A general framework for data-driven uncertainty quantification under complex input dependencies using vine copulas Emiliano Torre S. Marelli P. Embrechts Bruno Sudret 48 97 0 25 Sep 2017
Reliability analysis of high-dimensional models using low-rank tensor approximations K. Konakli Bruno Sudret 59 47 0 28 Jun 2016
Metamodel-based sensitivity analysis: Polynomial chaos expansions and Gaussian processes Loic Le Gratiet S. Marelli Bruno Sudret 58 157 0 14 Jun 2016
Metamodel-based importance sampling for structural reliability analysis V. Dubourg Francois Deheeger Bruno Sudret 67 490 0 03 May 2011
Reliability-based design optimization using kriging surrogates and subset simulation V. Dubourg Bruno Sudret Jean-Marc Bourinet AI4CE 55 423 0 19 Apr 2011