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Quantile-based versus Sobol sensitivity analysis in limit state design

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F20%3APU139503" target="_blank" >RIV/00216305:26110/20:PU139503 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S2352012420305993" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2352012420305993</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.istruc.2020.10.037" target="_blank" >10.1016/j.istruc.2020.10.037</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Quantile-based versus Sobol sensitivity analysis in limit state design

  • Original language description

    In limit state design, the reliability of building constructions is generally verified using design quantiles. The design resistance of a structure is explicitly expressed as a low quantile of the cumulative distribution function of resistance. The aim of this article is to show the connections and differences between quantile-oriented sensitivity analysis subordinated to a contrast and classic Sobol sensitivity analysis. Changing the fixed input variable causes synchronous change in the quantile and mean value, but how do the results of these two sensitivity analyses differ? The question is whether or not the changes around the design quantile (measured by contrast indices) are similar to the changes around the mean value, which are measured using Sobol’s indices. Comparison is performed on a case study, where the resistance of the structure is expressed by a non-linear function, the inputs of which are random material and geometric characteristics of the structure. The non-dimensional slenderness is a deterministic parameter, which changes the influence of input variables on the resistance as the model output. It was concluded upon comparing the results of both sensitivity analyses that the rank of the most important variables is the same for both low and high slenderness and is similar for intermediate slenderness. However, the interaction effects are very different. The identification of insignificant variables is the same. Other significant similarities and differences between both types of sensitivity analyses are presented in the article.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20101 - Civil engineering

Result continuities

  • Project

    <a href="/en/project/GA20-01734S" target="_blank" >GA20-01734S: Probability oriented global sensitivity measures of structural reliability</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Structures

  • ISSN

    2352-0124

  • e-ISSN

  • Volume of the periodical

    28

  • Issue of the periodical within the volume

    December 2020

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    7

  • Pages from-to

    2424-2430

  • UT code for WoS article

    000595307000005

  • EID of the result in the Scopus database

    2-s2.0-85095410489