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Polynomial chaos-based methods for uncertainty quantification and reliability analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00209415" target="_blank" >RIV/68407700:21110/13:00209415 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Polynomial chaos-based methods for uncertainty quantification and reliability analysis

  • Original language description

    In this contribution we concentrate on the SFEM based on polynomial chaos expasion (PCE) used for approximation of the model response in the stochastic space. Fast evaluation of the PCE can be then used within Monte Carlo (MC) or Markov chain Monte Carlo(MCMC) sampling so as to quantify the uncertainty in model output, to compute the structural reliability or to update the uncertainty in model inputs based on experimental data.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

    JM - Structural engineering

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2013

  • Confidentiality

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