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Polynomial chaos in evaluating failure probability: A comparative study

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F18%3A00326096" target="_blank" >RIV/68407700:21110/18:00326096 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.21136/AM.2018.0335-17" target="_blank" >http://dx.doi.org/10.21136/AM.2018.0335-17</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.21136/AM.2018.0335-17" target="_blank" >10.21136/AM.2018.0335-17</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Polynomial chaos in evaluating failure probability: A comparative study

  • Original language description

    Recent developments in the field of stochastic mechanics and particularly regarding the stochastic finite element method allow to model uncertain behaviours for more complex engineering structures. In reliability analysis, polynomial chaos expansion is a useful tool because it helps to avoid thousands of time-consuming finite element model simulations for structures with uncertain parameters. The aim of this paper is to review and compare available techniques for both the construction of polynomial chaos and its use in computing failure probability. In particular, we compare results for the stochastic Galerkin method, stochastic collocation, and the regression method based on Latin hypercube sampling with predictions obtained by crude Monte Carlo sampling. As an illustrative engineering example, we consider a simple frame structure with uncertain parameters in loading and geometry with prescribed distributions defined by realistic histograms.

  • 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/GA15-07299S" target="_blank" >GA15-07299S: Numerical tools for model-based design of robust and optimised experiments</a><br>

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Applications of mathematics

  • ISSN

    0862-7940

  • e-ISSN

    1572-9109

  • Volume of the periodical

    63

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    25

  • Pages from-to

    713-737

  • UT code for WoS article

    000453844300007

  • EID of the result in the Scopus database

    2-s2.0-85059002866