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2019 | OriginalPaper | Chapter

Screening Analysis and Adaptive Sparse Collocation Method

Authors : Alberto Clarich, Rosario Russo

Published in: Uncertainty Management for Robust Industrial Design in Aeronautics

Publisher: Springer International Publishing

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Abstract

In order to treat efficiently UQ problems of industrial relevance, characterized by a large number of uncertainties, we propose in this chapter several techniques for screening analysis (SS-ANOVA, PCA, and Morris) that can be used in order to reduce the number of uncertain parameters to the most significant ones in the problem, and an adaptive version of the Polynomial Chaos Expansion (PCE) that can be used to reduce significantly the number of sampling points needed for an accurate UQ.

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previous chapter Non-intrusive Uncertainty Quantification by Combination of Reduced Basis Method and Regression-based Polynomial Chaos Expansion
next chapter General Introduction to Surrogate Model-Based Approaches to UQ
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Metadata
Title
Screening Analysis and Adaptive Sparse Collocation Method
Authors
Alberto Clarich
Rosario Russo
Copyright Year
2019
Book
Uncertainty Management for Robust Industrial Design in Aeronautics

Print ISBN: 978-3-319-77766-5

Electronic ISBN: 978-3-319-77767-2

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-77767-2_11

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