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

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

2 Scopus citations

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
Pages502-506
Number of pages5
ISBN (Print)9789811851841
DOIs
StatePublished - 2024
Externally publishedYes
Event8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 - Hannover, Germany
Duration: 4 Sep 20227 Sep 2022

Publication series

NameProceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022

Conference

Conference8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022
Country/TerritoryGermany
CityHannover
Period4/09/227/09/22

Keywords

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

Fingerprint

Dive into the research topics of 'Estimation of Second-order Statistics of Buckling Loads Applying Linear and Nonlinear Analysis'. Together they form a unique fingerprint.

Cite this