Hierarchical stochastic metamodels based on moving least squares and polynomial chaos expansion: application to the multiobjective reliability-based optimization of space truss structures

DOI10.1007/s00158-010-0608-5zbMath1274.74267OpenAlexW1595646361MaRDI QIDQ381602

Jérémy Lebon, Rajan Filomeno Coelho, Philippe Bouillard

Publication date: 15 November 2013

Published in: Structural and Multidisciplinary Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00158-010-0608-5

zbMATH Keywords

moving least squarespolynomial chaos expansionreliability-based design optimizationmultiobjective evolutionary optimizationoptimization under uncertaintyspace trussessurrogate-based optimization

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Optimization of other properties in solid mechanics (74P10) Signal detection and filtering (aspects of stochastic processes) (60G35) Dynamical systems in control (37N35)

Related Items

Multiobjective topology optimization of truss structures with kinematic stability repair ⋮ A novel sparse polynomial chaos expansion technique with high adaptiveness for surrogate modelling ⋮ Topology optimization of continuum structures under uncertainty - A polynomial chaos approach ⋮ Towards simultaneous reduction of both input and output spaces for interactive simulation-based structural design ⋮ Towards surrogate modeling of material microstructures through the processing variables ⋮ Sequential Stochastic Response Surface Method Using Moving Least Squares-Based Sparse Grid Scheme for Efficient Reliability Analysis ⋮ Improved Moving Least Square-Based Multiple Dimension Decomposition (MDD) Technique for Structural Reliability Analysis

Uses Software

• DACE
• Sparse Grid Interpolation
• LHS

Cites Work

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