Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/90965
Title: | Stochastic seismic slope stability assessment using polynomial chaos expansions combined with relevance vector machine | Authors: | Pan, QJ Leung, YF Hsu, SC |
Issue Date: | Jan-2021 | Source: | Geoscience frontiers, Jan. 2021, v. 12, no. 1, p. 405-414 | Abstract: | This paper presents probabilistic assessment of seismically-induced slope displacements considering uncertainties of seismic ground motions and soil properties. A stochastic ground motion model representing both the temporal and spectral non-stationarity of earthquake shakings and a three-dimensional rotational failure mechanism are integrated to assess Newmark-type slope displacements. A new probabilistic approach that incorporates machine learning in metamodeling technique is proposed, by combining relevance vector machine with polynomial chaos expansions (RVM-PCE). Compared with other PCE methods, the proposed RVM-PCE is shown to be more effective in estimating failure probabilities. The sensitivity and relative influence of each random input parameter to the slope displacements are discussed. Finally, the fragility curves for slope displacements are established for site-specific soil conditions and earthquake hazard levels. The results indicate that the slope displacement is more sensitive to the intensities and strong shaking durations of seismic ground motions than the frequency contents, and a critical Arias intensity that leads to the maximum annual failure probabilities can be identified by the proposed approach. | Keywords: | 3D slope stability Earthquake Failure probability Seismic displacements Seismic hazard analysis |
Publisher: | Elsevier BV on behalf of China University of Geosciences | Journal: | Geoscience frontiers | EISSN: | 1674-9871 | DOI: | 10.1016/j.gsf.2020.03.016 | Rights: | © 2020 China University of Geosciences (Beijing) and Peking University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). The following publication Pan, Q. J., Leung, Y. F., & Hsu, S. C. (2021). Stochastic seismic slope stability assessment using polynomial chaos expansions combined with relevance vector machine. Geoscience Frontiers, 12(1), 405-414 is available at https://doi.org/10.1016/j.gsf.2020.03.016 |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1-s2.0-S167498712030089X-main.pdf | 1.71 MB | Adobe PDF | View/Open |
Page views
56
Last Week
0
0
Last month
Citations as of May 5, 2024
Downloads
22
Citations as of May 5, 2024
SCOPUSTM
Citations
19
Citations as of May 3, 2024
WEB OF SCIENCETM
Citations
17
Citations as of May 2, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.