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 ◽

Cited By ~ 54

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

Download Full-text

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 ◽

Cited By ~ 37

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

Download Full-text

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 ◽

Cited By ~ 11

Author(s):

Roland Schöbi ◽

Bruno Sudret

Keyword(s):

Sensitivity Analysis ◽

Polynomial Chaos ◽

Global Sensitivity Analysis ◽

Imprecise Probabilities ◽

Global Sensitivity ◽

Sparse Polynomial ◽

Polynomial Chaos Expansions

Download Full-text

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 ◽

Cited By ~ 4

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

Download Full-text

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 ◽

Cited By ~ 5

Author(s):

Qian Shao ◽

Enlai Gao ◽

Thierry Mara ◽

Heng Hu ◽

Tong Liu ◽

...

Keyword(s):

Sensitivity Analysis ◽

Fuel Cells ◽

Solid Oxide Fuel Cells ◽

Polynomial Chaos ◽

Global Sensitivity Analysis ◽

Solid Oxide ◽

Oxide Fuel ◽

Global Sensitivity ◽

Sparse Polynomial ◽

Polynomial Chaos Expansions

Download Full-text

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

Download Full-text

Sparse polynomial chaos expansions for global sensitivity analysis with partial least squares and distance correlation

Structural and Multidisciplinary Optimization ◽

10.1007/s00158-018-2062-8 ◽

2018 ◽

Vol 59 (1) ◽

pp. 229-247 ◽

Cited By ~ 6

Author(s):

Yicheng Zhou ◽

Zhenzhou Lu ◽

Kai Cheng

Keyword(s):

Sensitivity Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Polynomial Chaos ◽

Global Sensitivity Analysis ◽

Distance Correlation ◽

Global Sensitivity ◽

Sparse Polynomial ◽

Polynomial Chaos Expansions

Download Full-text

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

Download Full-text

Probabilistic evaluation of tunnel face stability in spatially random soils using sparse polynomial chaos expansion with global sensitivity analysis

Acta Geotechnica ◽

10.1007/s11440-017-0541-5 ◽

2017 ◽

Vol 12 (6) ◽

pp. 1415-1429 ◽

Cited By ~ 33

Author(s):

Qiujing Pan ◽

Daniel Dias

Keyword(s):

Sensitivity Analysis ◽

Polynomial Chaos ◽

Global Sensitivity Analysis ◽

Chaos Expansion ◽

Tunnel Face ◽

Face Stability ◽

Global Sensitivity ◽

Sparse Polynomial ◽

Probabilistic Evaluation ◽

Tunnel Face Stability

Download Full-text

An adaptive sampling method for global sensitivity analysis based on least-squares support vector regression

Reliability Engineering & System Safety ◽

10.1016/j.ress.2018.11.015 ◽

2019 ◽

Vol 183 ◽

pp. 323-340 ◽

Cited By ~ 6

Author(s):

M. Steiner ◽

J.-M. Bourinet ◽

T. Lahmer

Keyword(s):

Sensitivity Analysis ◽

Least Squares ◽

Support Vector Regression ◽

Adaptive Sampling ◽

Sampling Method ◽

Global Sensitivity Analysis ◽

Support Vector ◽

Global Sensitivity

Download Full-text

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

Download Full-text