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Estimation of Second-order Statistics of Buckling Loads Applying Linear and Nonlinear Analysis

  • Marc Fina
  • , Matthias G.R. Faes*
  • , Marcos A. Valdebenito
  • , Werner Wagner
  • , Matteo Broggi
  • , Michael Beer
  • , Steffen Freitag
  • *Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Abstract

This paper presents an approach for estimating second-order statistics of the buckling load of structural systems subject to randomness. The proposed approach is based on sampling and it exploits the correlation existing between buckling loads calculated by means of linearized and nonlinear buckling analysis under the framework provided by control variates. Such strategy allows producing estimates of second-order statistics with improved precision. A numerical example illustrates the advantages of the proposed framework.

Original languageEnglish
Title of host publicationProceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022
EditorsMichael Beer, Enrico Zio, Kok-Kwang Phoon, Bilal M. Ayyub
PublisherResearch Publishing Services, Singapore
Pages502-506
Number of pages5
ISBN (Print)9789811851841
DOIs
Publication statusPublished - 2024
Event8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 - Hannover, Germany
Duration: 4 Sept 20227 Sept 2022

Conference

Conference8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022
Country/TerritoryGermany
CityHannover
Period4 Sept 20227 Sept 2022

Keywords

  • buckling load
  • control variates
  • linearized analysis
  • nonlinear analysis
  • second-order statistics

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Safety, Risk, Reliability and Quality

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