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ArticleStochastic design optimization: Application to reacting flows

Didier Lucor2007

Article2007

Stochastic design optimization: Application to reacting flows

Didier Lucor · Cedric Énaux · Hervé Jourdren · Pierre Sagaut

43 citations·0/0 files stored·Computer Methods in Applied Mechanics and Engineering

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Probabilistic and Robust Engineering Design Model Reduction and Neural Networks Advanced Multi-Objective Optimization Algorithms

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References

1996Response Surface Methodology: Process and Product Optimization Using Designed Experiments 1992STATISTICS FOR SPATIAL DATA 1989Design and Analysis of Computer Experiments 1991Stochastic Finite Elements: A Spectral Approach 1988Empirical Model Building and Response Surfaces 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations 1988Empirical Model-Building and Response Surfaces.2005High-Order Collocation Methods for Differential Equations with Random Inputs

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2018A hyperbolicity-preserving stochastic Galerkin approximation for uncertain hyperbolic systems of equations 2009A reduced-order stochastic finite element approach for design optimization under uncertainty 2017Robust aerodynamic shape design based on an adaptive stochastic optimization framework 2012Non intrusive iterative stochastic spectral representation with application to compressible gas dynamics 2019A gPC-intrusive Monte-Carlo scheme for the resolution of the uncertain linear Boltzmann equation

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Year2007

Typearticle

Published2007-07-26

VenueComputer Methods in Applied Mechanics and Engineering

ISSN-L0045-7825

Languageen

Citations43

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.cma.2007.07.003

openalex_workW1968037831

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