Global sensitivity analysis of passive safety systems of FHR by using meta-modeling and sampling methods

Progress in Nuclear Energy ◽

10.1016/j.pnucene.2019.03.002 ◽

2019 ◽

Vol 115 ◽

pp. 30-41 ◽

Author(s):

Yang Zhao ◽

Zhangpeng Guo ◽

Fenglei Niu ◽

Yu Yu ◽

Shengfei Wang

Keyword(s):

Sensitivity Analysis ◽

Global Sensitivity Analysis ◽

Sampling Methods ◽

Passive Safety ◽

Global Sensitivity ◽

Passive Safety Systems ◽

Meta Modeling ◽

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Global sensitivity analysis of large-scale numerical landslide models based on Gaussian-Process meta-modeling

Computers & Geosciences ◽

10.1016/j.cageo.2011.02.020 ◽

2011 ◽

Vol 37 (7) ◽

pp. 917-927 ◽

Author(s):

Jeremy Rohmer ◽

Evelyne Foerster

Keyword(s):

Sensitivity Analysis ◽

Gaussian Process ◽

Large Scale ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

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A comparison of two sampling methods for global sensitivity analysis

Computer Physics Communications ◽

10.1016/j.cpc.2011.12.015 ◽

2012 ◽

Vol 183 (5) ◽

pp. 1061-1072 ◽

Author(s):

Stefano Tarantola ◽

William Becker ◽

Dirk Zeitz

Keyword(s):

Sensitivity Analysis ◽

Global Sensitivity Analysis ◽

Sampling Methods ◽

Global Sensitivity

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Global sensitivity analysis of the main steam line break accident by using sampling methods and surrogate models

Annals of Nuclear Energy ◽

10.1016/j.anucene.2020.107787 ◽

2021 ◽

Vol 150 ◽

pp. 107787

Author(s):

Qiuteng Sun ◽

Zhangpeng Guo ◽

Wei Chen ◽

Yu Yu ◽

Zeji Wang ◽

...

Keyword(s):

Sensitivity Analysis ◽

Global Sensitivity Analysis ◽

Sampling Methods ◽

Surrogate Models ◽

Global Sensitivity ◽

Main Steam Line ◽

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Meta-modeling based efficient global sensitivity analysis for wastewater treatment plants – An application to the BSM2 model

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2019.05.015 ◽

2019 ◽

Vol 127 ◽

pp. 233-246 ◽

Author(s):

Resul Al ◽

Chitta Ranjan Behera ◽

Alexandr Zubov ◽

Krist V. Gernaey ◽

Gürkan Sin

Keyword(s):

Sensitivity Analysis ◽

Wastewater Treatment ◽

Global Sensitivity Analysis ◽

Wastewater Treatment Plants ◽

Global Sensitivity ◽

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Combining meta-modeling and categorical indicators for global sensitivity analysis of long-running flow simulators with spatially dependent inputs

Computational Geosciences ◽

10.1007/s10596-013-9391-x ◽

2014 ◽

Vol 18 (2) ◽

pp. 171-183 ◽

Author(s):

Jeremy Rohmer

Keyword(s):

Sensitivity Analysis ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

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Finite mixture models for sensitivity analysis of thermal hydraulic codes for passive safety systems analysis

Nuclear Engineering and Design ◽

10.1016/j.nucengdes.2015.04.035 ◽

2015 ◽

Vol 289 ◽

pp. 144-154 ◽

Author(s):

Francesco Di Maio ◽

Giancarlo Nicola ◽

Enrico Zio ◽

Yu Yu

Keyword(s):

Sensitivity Analysis ◽

Mixture Models ◽

Systems Analysis ◽

Finite Mixture Models ◽

Finite Mixture ◽

Passive Safety ◽

Passive Safety Systems ◽

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Global sensitivity analysis and meta-modeling of an ethanol production process

Chemical Engineering Science ◽

10.1016/j.ces.2014.04.027 ◽

2014 ◽

Vol 114 ◽

pp. 114-127 ◽

Author(s):

Efti Todri ◽

Andrew N. Amenaghawon ◽

Ioscani Jimenez del Val ◽

David J. Leak ◽

Cleo Kontoravdi ◽

...

Keyword(s):

Sensitivity Analysis ◽

Production Process ◽

Ethanol Production ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

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Moment-independence global sensitivity analysis for the system with fuzzy failure state and its Kriging method

Journal of Systems Engineering and Electronics ◽

10.21629/jsee.2018.03.23 ◽

2018 ◽

Vol 29 (3) ◽

pp. 658

Keyword(s):

Sensitivity Analysis ◽

Global Sensitivity Analysis ◽

Kriging Method ◽

Global Sensitivity ◽

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What Makes a First‐Magnitude Spring?: Global Sensitivity Analysis of a Speleogenesis Model to Gain Insight into Karst Network and Spring Genesis

Water Resources Research ◽

10.1029/2017wr021950 ◽

2018 ◽

Vol 54 (10) ◽

pp. 7417-7434 ◽

Author(s):

Wesley R. Henson ◽

Rob Rooij ◽

Wendy Graham

Keyword(s):

Sensitivity Analysis ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

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NZEB schools: global sensitivity analysis to optimize design features of school buildings

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/296/1/012043 ◽

2019 ◽

Vol 296 ◽

pp. 012043

Author(s):

F Bazzocchi ◽

C Ciacci ◽

V Di Naso ◽

A Rocchetti

Keyword(s):

Sensitivity Analysis ◽

Global Sensitivity Analysis ◽

School Buildings ◽

Design Features ◽

Global Sensitivity ◽

Optimize Design

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