Publication detail

Quantile-oriented global sensitivity analysis of design resistance.

KALA, Z.

Original Title

Quantile-oriented global sensitivity analysis of design resistance.

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

Sensitivity analysis, Quantile, Resistance, Lateral-torsional buckling; Imperfections; Steel, Random sampling

Authors

KALA, Z.

Released

24. 1. 2019

ISBN

1392-3730

Periodical

Journal of civil engineering and management

Year of study

2019

Number

25(4)

State

Republic of Lithuania

Pages from

297

Pages to

305

Pages count

9

URL

https://doi.org/10.3846/jcem.2019.9627

BibTex

@article{BUT162330,
  author="Zdeněk {Kala}",
  title="Quantile-oriented global sensitivity analysis of design resistance.",
  journal="Journal of civil engineering and management",
  year="2019",
  volume="2019",
  number="25(4)",
  pages="297--305",
  doi="10.3846/jcem.2019.9627",
  issn="1392-3730",
  url="https://doi.org/10.3846/jcem.2019.9627"
}