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

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

Authors

  • Marc Fina
  • Matthias G.R. Faes
  • Marcos A. Valdebenito
  • Werner Wagner
  • Matteo Broggi
  • Michael Beer
  • Steffen Freitag

Research Organisations

External Research Organisations

  • Karlsruhe Institute of Technology (KIT)
  • TU Dortmund University
  • KU Leuven
  • Universidad Adolfo Ibanez
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Details

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
Pages502-506
Number of pages5
Publication statusPublished - 2024
Event8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 - Hannover, Germany
Duration: 4 Sept 20227 Sept 2022

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.

Keywords

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

ASJC Scopus subject areas

Cite this

Estimation of Second-order Statistics of Buckling Loads Applying Linear and Nonlinear Analysis. / Fina, Marc; Faes, Matthias G.R.; Valdebenito, Marcos A. et al.
Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022. ed. / Michael Beer; Enrico Zio; Kok-Kwang Phoon; Bilal M. Ayyub. 2024. p. 502-506.

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

Fina, M, Faes, MGR, Valdebenito, MA, Wagner, W, Broggi, M, Beer, M & Freitag, S 2024, Estimation of Second-order Statistics of Buckling Loads Applying Linear and Nonlinear Analysis. in M Beer, E Zio, K-K Phoon & BM Ayyub (eds), Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022. pp. 502-506, 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022, Hannover, Germany, 4 Sept 2022. https://doi.org/10.3850/978-981-18-5184-1_MS-15-145-cd
Fina, M., Faes, M. G. R., Valdebenito, M. A., Wagner, W., Broggi, M., Beer, M., & Freitag, S. (2024). Estimation of Second-order Statistics of Buckling Loads Applying Linear and Nonlinear Analysis. In M. Beer, E. Zio, K.-K. Phoon, & B. M. Ayyub (Eds.), Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 (pp. 502-506) https://doi.org/10.3850/978-981-18-5184-1_MS-15-145-cd
Fina M, Faes MGR, Valdebenito MA, Wagner W, Broggi M, Beer M et al. Estimation of Second-order Statistics of Buckling Loads Applying Linear and Nonlinear Analysis. In Beer M, Zio E, Phoon KK, Ayyub BM, editors, Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022. 2024. p. 502-506 doi: 10.3850/978-981-18-5184-1_MS-15-145-cd
Fina, Marc ; Faes, Matthias G.R. ; Valdebenito, Marcos A. et al. / Estimation of Second-order Statistics of Buckling Loads Applying Linear and Nonlinear Analysis. Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022. editor / Michael Beer ; Enrico Zio ; Kok-Kwang Phoon ; Bilal M. Ayyub. 2024. pp. 502-506
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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.",
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AU - Fina, Marc

AU - Faes, Matthias G.R.

AU - Valdebenito, Marcos A.

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AU - Broggi, Matteo

AU - Beer, Michael

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