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ChapterUncertainty quantification in materials modeling

Yan Wang2020

Chapter2020

Uncertainty quantification in materials modeling

Yan Wang · David L. McDowell

23 citations·0/0 files stored·Elsevier eBooks

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Probabilistic and Robust Engineering Design Machine Learning in Materials Science 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 2007Global Sensitivity Analysis. The Primer 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates 1991Stochastic Finite Elements: A Spectral Approach 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations 1996Response Surface Methodology: Process and Product Optimization Using Designed Experiments 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems

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2020Uncertainty Quantified Parametrically Homogenized Constitutive Models for Microstructure-Integrated Structural Simulations

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Year2020

Typechapter

Published2020-01-01

VenueElsevier eBooks

Languageen

Citations23

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/b978-0-08-102941-1.00001-8

openalex_workW3010679796

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