Estimation of second order statistics of uncertain linear systems applying linear expansion and monte carlo simulation

C. H. Acevedo, I. V. González, M. A. Valdebenito, H. A. Jensen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Second order statistics of the response of stochastic finite element models can be estimated applying either linear perturbation or Monte Carlo simulation. The former approach is quite convenient from a numerical viewpoint, although its accuracy may be limited; the latter approach can be highly accurate, at the expense of increased numerical costs due to repeated simulation. Hence, this contribution presents a control variates approach that takes advantage of the virtues of both linear perturbation and Monte Carlo simulation, in order to produce estimates of the second order statistics of stochastic finite element models with reduced variability. The application of the proposed approach is illustrated by means of a numerical example.

Original languageEnglish
Title of host publicationProceedings of the 29th European Safety and Reliability Conference, ESREL 2019
EditorsMichael Beer, Enrico Zio
PublisherResearch Publishing Services
Pages2078-2082
Number of pages5
ISBN (Electronic)9789811127243
DOIs
StatePublished - 2020
Event29th European Safety and Reliability Conference, ESREL 2019 - Hannover, Germany
Duration: 22 Sep 201926 Sep 2019

Publication series

NameProceedings of the 29th European Safety and Reliability Conference, ESREL 2019

Conference

Conference29th European Safety and Reliability Conference, ESREL 2019
Country/TerritoryGermany
CityHannover
Period22/09/1926/09/19

Keywords

  • Control variates
  • Linear expansion
  • Monte Carlo simulation
  • Random field
  • Stochastic finite elements
  • Uncertain linear system

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