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

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  • The University of Liverpool
  • Tongji University
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OriginalspracheEnglisch
Titel des SammelwerksProceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022
Herausgeber/-innenMichael Beer, Enrico Zio, Kok-Kwang Phoon, Bilal M. Ayyub
Seiten600-605
Seitenumfang6
PublikationsstatusVeröffentlicht - 2024
Veranstaltung8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 - Hannover, Deutschland
Dauer: 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.

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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. Hrsg. / Michael Beer; Enrico Zio; Kok-Kwang Phoon; Bilal M. Ayyub. 2024. S. 600-605.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-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 (Hrsg.), Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022. S. 600-605, 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022, Hannover, Deutschland, 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 (Hrsg.), Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 (S. 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, Hrsg., Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022. 2024. S. 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. Hrsg. / Michael Beer ; Enrico Zio ; Kok-Kwang Phoon ; Bilal M. Ayyub. 2024. S. 600-605
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AU - Beer, Michael

N1 - Publisher Copyright: © 2022 ISRERM Organizers. Published by Research Publishing, Singapore.

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