Quantile-oriented global sensitivity analysis of design resistance

The article investigates the application of a new type of global quantile-oriented sensitivity analysis (called QSA in the article) and contrasts it with established Sobol’ sensitivity analysis (SSA). Comparison of QSA of the resistance design value (0.1 percentile) with SSA is performed on an exam...

Full description

Bibliographic Details
Main Author: Zdeněk Kala
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2019-04-01
Series:Journal of Civil Engineering and Management
Subjects:
Online Access:http://journals.vgtu.lt/index.php/JCEM/article/view/9627
id doaj-142cfbfcd840491e8f7de3696b1d1c3f
record_format Article
spelling doaj-142cfbfcd840491e8f7de3696b1d1c3f2021-07-02T04:55:53ZengVilnius Gediminas Technical UniversityJournal of Civil Engineering and Management1392-37301822-36052019-04-0125410.3846/jcem.2019.9627Quantile-oriented global sensitivity analysis of design resistanceZdeněk Kala0Department of Structural Mechanics, Faculty of Civil Engineering, Brno University of Technology, Veveří 95, 602 00, Brno, Czech Republic The article investigates the application of a new type of global quantile-oriented sensitivity analysis (called QSA in the article) and contrasts it with established Sobol’ sensitivity analysis (SSA). Comparison of QSA of the resistance design value (0.1 percentile) with SSA is performed on an example of the analysis of the resistance of a steel IPN 200 beam, which is subjected to lateral-torsional buckling. The resistance is approximated using higher order polynomial metamodels created from advanced non-linear FE models. The main, higher order and total effects are calculated using the Latin Hypercube Sampling method. Noticeable differences between the two methods are found, with QSA apparently revealing higher sensitivity of the resistance design value to random input second and higher order interactions (compared to SSA). SSA cannot identify certain reliability aspects of structural design as comprehensively as QSA, particularly in relation to higher order interactions effects of input imperfections. In order to better understand the reasons for the differences between QSA and SSA, two simple examples are presented, where QSA (median) and SSA show a general agreement in the calculation of certain sensitivity indices. http://journals.vgtu.lt/index.php/JCEM/article/view/9627sensitivity analysisquantileresistancelateral-torsional bucklingimperfectionssteel
collection DOAJ
language English
format Article
sources DOAJ
author Zdeněk Kala
spellingShingle Zdeněk Kala
Quantile-oriented global sensitivity analysis of design resistance
Journal of Civil Engineering and Management
sensitivity analysis
quantile
resistance
lateral-torsional buckling
imperfections
steel
author_facet Zdeněk Kala
author_sort Zdeněk Kala
title Quantile-oriented global sensitivity analysis of design resistance
title_short Quantile-oriented global sensitivity analysis of design resistance
title_full Quantile-oriented global sensitivity analysis of design resistance
title_fullStr Quantile-oriented global sensitivity analysis of design resistance
title_full_unstemmed Quantile-oriented global sensitivity analysis of design resistance
title_sort quantile-oriented global sensitivity analysis of design resistance
publisher Vilnius Gediminas Technical University
series Journal of Civil Engineering and Management
issn 1392-3730
1822-3605
publishDate 2019-04-01
description The article investigates the application of a new type of global quantile-oriented sensitivity analysis (called QSA in the article) and contrasts it with established Sobol’ sensitivity analysis (SSA). Comparison of QSA of the resistance design value (0.1 percentile) with SSA is performed on an example of the analysis of the resistance of a steel IPN 200 beam, which is subjected to lateral-torsional buckling. The resistance is approximated using higher order polynomial metamodels created from advanced non-linear FE models. The main, higher order and total effects are calculated using the Latin Hypercube Sampling method. Noticeable differences between the two methods are found, with QSA apparently revealing higher sensitivity of the resistance design value to random input second and higher order interactions (compared to SSA). SSA cannot identify certain reliability aspects of structural design as comprehensively as QSA, particularly in relation to higher order interactions effects of input imperfections. In order to better understand the reasons for the differences between QSA and SSA, two simple examples are presented, where QSA (median) and SSA show a general agreement in the calculation of certain sensitivity indices.
topic sensitivity analysis
quantile
resistance
lateral-torsional buckling
imperfections
steel
url http://journals.vgtu.lt/index.php/JCEM/article/view/9627
work_keys_str_mv AT zdenekkala quantileorientedglobalsensitivityanalysisofdesignresistance
_version_ 1721339305080651776