Risk-averse structural topology optimization under random fields using stochastic expansion methods
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Publication:2310201
DOI10.1016/j.cma.2017.10.026zbMath1439.74292OpenAlexW2767441738MaRDI QIDQ2310201
Mathieu Kessler, David Herrero-Pérez, Francisco Periago, Jesús Martínez-Frutos
Publication date: 6 April 2020
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2017.10.026
random fieldslevel-set methodexistence theorymaterial uncertaintyrisk-averse topology optimizationstochastic expansion methods
Random fields (60G60) Topological methods for optimization problems in solid mechanics (74P15) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)
Related Items (8)
Robust optimal control of stochastic hyperelastic materials ⋮ Risk-averse approach for topology optimization of fail-safe structures using the level-set method ⋮ Robust topology optimization with low rank approximation using artificial neural networks ⋮ Stress-based topology optimization under uncertainty via simulation-based Gaussian process ⋮ A pessimistic bilevel stochastic problem for elastic shape optimization ⋮ The FMM accelerated PIES with the modified binary tree in solving potential problems for the domains with curvilinear boundaries ⋮ Large-scale stochastic topology optimization using adaptive mesh refinement and coarsening through a two-level parallelization scheme ⋮ Structural optimization under internal porosity constraints using topological derivatives
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