Distribution-based global sensitivity analysis in case of correlated input parameters using polynomial chaos expansions

Applications of Statistics and Probability in Civil Engineering ◽

10.1201/b11332-105 ◽

2011 ◽

pp. 695-702 ◽

Author(s):

Y Caniou ◽

B Sudret

Keyword(s):

Sensitivity Analysis ◽

Polynomial Chaos ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

Input Parameters ◽

Polynomial Chaos Expansions

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Hybrid metamodel of radial basis function and polynomial chaos expansions with orthogonal constraints for global sensitivity analysis

Structural and Multidisciplinary Optimization ◽

10.1007/s00158-020-02516-4 ◽

2020 ◽

Vol 62 (2) ◽

pp. 597-617

Author(s):

Zeping Wu ◽

Donghui Wang ◽

Wenjie Wang ◽

Kun Zhao ◽

Houcun Zhou ◽

...

Keyword(s):

Sensitivity Analysis ◽

Radial Basis Function ◽

Basis Function ◽

Polynomial Chaos ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

Radial Basis ◽

Polynomial Chaos Expansions

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Using sparse polynomial chaos expansions for the global sensitivity analysis of groundwater lifetime expectancy in a multi-layered hydrogeological model

Reliability Engineering & System Safety ◽

10.1016/j.ress.2015.11.005 ◽

2016 ◽

Vol 147 ◽

pp. 156-169 ◽

Author(s):

G. Deman ◽

K. Konakli ◽

B. Sudret ◽

J. Kerrou ◽

P. Perrochet ◽

...

Keyword(s):

Sensitivity Analysis ◽

Polynomial Chaos ◽

Global Sensitivity Analysis ◽

Hydrogeological Model ◽

Global Sensitivity ◽

Sparse Polynomial ◽

Polynomial Chaos Expansions ◽

Lifetime Expectancy

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Global sensitivity analysis in the context of imprecise probabilities (p-boxes) using sparse polynomial chaos expansions

Reliability Engineering & System Safety ◽

10.1016/j.ress.2018.11.021 ◽

2019 ◽

Vol 187 ◽

pp. 129-141 ◽

Author(s):

Roland Schöbi ◽

Bruno Sudret

Keyword(s):

Sensitivity Analysis ◽

Polynomial Chaos ◽

Global Sensitivity Analysis ◽

Imprecise Probabilities ◽

Global Sensitivity ◽

Sparse Polynomial ◽

Polynomial Chaos Expansions

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Uncertainty quantification and global sensitivity analysis of complex chemical processes with a large number of input parameters using compressive polynomial chaos

Chemical Engineering Research and Design ◽

10.1016/j.cherd.2016.09.035 ◽

2016 ◽

Vol 115 ◽

pp. 204-213 ◽

Author(s):

Pham Luu Trung Duong ◽

Le Quang Minh ◽

Tram Ngoc Pham ◽

Jorge Goncalves ◽

Ezra Kwok ◽

...

Keyword(s):

Sensitivity Analysis ◽

Uncertainty Quantification ◽

Polynomial Chaos ◽

Global Sensitivity Analysis ◽

Chemical Processes ◽

Complex Chemical ◽

Global Sensitivity ◽

Input Parameters

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Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation

Reliability Engineering & System Safety ◽

10.1016/j.ress.2019.106737 ◽

2020 ◽

Vol 195 ◽

pp. 106737 ◽

Author(s):

Joseph B. Nagel ◽

Jörg Rieckermann ◽

Bruno Sudret

Keyword(s):

Principal Component Analysis ◽

Sensitivity Analysis ◽

Model Calibration ◽

Polynomial Chaos ◽

Global Sensitivity Analysis ◽

Principal Component ◽

Urban Drainage ◽

Global Sensitivity ◽

Sparse Polynomial ◽

Polynomial Chaos Expansions

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Global sensitivity analysis using polynomial chaos expansions

Reliability Engineering & System Safety ◽

10.1016/j.ress.2007.04.002 ◽

2008 ◽

Vol 93 (7) ◽

pp. 964-979 ◽

Cited By ~ 1011

Author(s):

Bruno Sudret

Keyword(s):

Sensitivity Analysis ◽

Polynomial Chaos ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

Polynomial Chaos Expansions

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Distribution-based global sensitivity analysis using polynomial chaos expansions

Procedia - Social and Behavioral Sciences ◽

10.1016/j.sbspro.2010.05.149 ◽

2010 ◽

Vol 2 (6) ◽

pp. 7625-7626 ◽

Author(s):

Y. Caniou ◽

B. Sudret

Keyword(s):

Sensitivity Analysis ◽

Polynomial Chaos ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

Polynomial Chaos Expansions

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Global sensitivity analysis of solid oxide fuel cells with Bayesian sparse polynomial chaos expansions

Applied Energy ◽

10.1016/j.apenergy.2019.114318 ◽

2020 ◽

Vol 260 ◽

pp. 114318 ◽

Author(s):

Qian Shao ◽

Enlai Gao ◽

Thierry Mara ◽

Heng Hu ◽

Tong Liu ◽

...

Keyword(s):

Sensitivity Analysis ◽

Solid Oxide Fuel Cells ◽

Polynomial Chaos ◽

Global Sensitivity Analysis ◽

Solid Oxide ◽

Global Sensitivity ◽

Sparse Polynomial ◽

Polynomial Chaos Expansions

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Adaptive sparse polynomial chaos expansions for global sensitivity analysis based on support vector regression

Computers & Structures ◽

10.1016/j.compstruc.2017.09.002 ◽

2018 ◽

Vol 194 ◽

pp. 86-96 ◽

Author(s):

Kai Cheng ◽

Zhenzhou Lu

Keyword(s):

Sensitivity Analysis ◽

Support Vector Regression ◽

Polynomial Chaos ◽

Global Sensitivity Analysis ◽

Support Vector ◽

Global Sensitivity ◽

Sparse Polynomial ◽

Polynomial Chaos Expansions

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Global sensitivity analysis of probabilistic tunnel seismic deformations using sparse polynomial chaos expansions

Soil Dynamics and Earthquake Engineering ◽

10.1016/j.soildyn.2020.106470 ◽

2021 ◽

Vol 141 ◽

pp. 106470

Author(s):

Qiangqiang Sun ◽

Daniel Dias

Keyword(s):

Sensitivity Analysis ◽

Polynomial Chaos ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

Seismic Deformations ◽

Sparse Polynomial ◽

Polynomial Chaos Expansions

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