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Decoupling uncertainty quantification from robust design optimization · Study

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ArticleDecoupling uncertainty quantification from robust design optimization

Tanmoy Chatterjee2019

Article2019

Decoupling uncertainty quantification from robust design optimization

Tanmoy Chatterjee · Rajib Chowdhury · Palaniappan Ramu

21 citations·0/0 files stored·Structural and Multidisciplinary Optimization

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Probabilistic and Robust Engineering Design Topology Optimization in Engineering Advanced Multi-Objective Optimization Algorithms

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References

2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 1989Design and Analysis of Computer Experiments 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation 2007Robust optimization – A comprehensive survey 2010Adaptive sparse polynomial chaos expansion based on least angle regression 2008Computational methods in optimization considering uncertainties – An overview 1996A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors

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2019Robustness Metric for Robust Design Optimization Under Time- and Space-Dependent Uncertainty Through Metamodeling 2020Intelligent initial point selection for MPP search in reliability-based design optimization 2020Gaussian process assisted stochastic dynamic analysis with applications to near-periodic structures

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Details

Year2019

Typearticle

Published2019-01-07

VenueStructural and Multidisciplinary Optimization

ISSN-L1615-147X

Languageen

Citations21

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1007/s00158-018-2167-0

openalex_workW2907720809

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