Reliability analysis of landslides based on the random finite element method (ISRERM 2022)

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

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  • University of Liverpool
  • Tongji University
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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
Pages600-605
Number of pages6
Publication statusPublished - 2024
Event8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 - Hannover, Germany
Duration: 4 Sept 20227 Sept 2022

Abstract

With increased available data in geotechnical engineering, it is essential to research geotechnical reliability analysis, including statistical data. Among the many research methods, the random finite element method applies a random field of strength parameters selected from a statistical distribution to geotechnical engineering. Thus, it has become prevalent in geotechnical engineering analysis. This paper analyses the reliability of landslides’ stability with the spatial variability for their reliability using the random finite element method based on landslide model experiments. Firstly, the random finite element method is studied, including the characterization method of the random field and the deterministic stability analysis method. The implementation procedure of the random finite element method is described subsequently. Finally, the effects of the random field variability coefficient and the fluctuation range of the random field on the failure probability are investigated based on a landslide model. The results of this case study show that the random finite element method has excellent applicability and potential for landslide reliability analysis. Moreover, the coefficient of variation and fluctuation range of the random field considerably influence the reliability of the landslide.

Keywords

    Landslides, Random finite element method, Reliability analysis, Spatial variability

ASJC Scopus subject areas

Cite this

Reliability analysis of landslides based on the random finite element method (ISRERM 2022). / Feng, Chengxin; Broggi, Matteo; Beer, Michael.
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. 600-605.

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

Feng, C, Broggi, M & Beer, M 2024, Reliability analysis of landslides based on the random finite element method (ISRERM 2022). 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. 600-605, 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-18-103-cd
Feng, C., Broggi, M., & Beer, M. (2024). Reliability analysis of landslides based on the random finite element method (ISRERM 2022). 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. 600-605) https://doi.org/10.3850/978-981-18-5184-1_MS-18-103-cd
Feng C, Broggi M, Beer M. Reliability analysis of landslides based on the random finite element method (ISRERM 2022). 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. 600-605 doi: 10.3850/978-981-18-5184-1_MS-18-103-cd
Feng, Chengxin ; Broggi, Matteo ; Beer, Michael. / Reliability analysis of landslides based on the random finite element method (ISRERM 2022). 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. 600-605
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AU - Beer, Michael

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