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Seismic reliability analysis of slope in spatially variable soils using multiple response surfaces

Chunli Li (Qingdao University of Technology, Qingdao, China)
Liang Li (Qingdao University of Technology, Qingdao, China)
Yungming Cheng (Qingdao University of Technology, Qingdao, China)
Liang Xu (Qingdao University of Technology, Qingdao, China)
Guangming Yu (Qingdao University of Technology, Qingdao, China)

Engineering Computations

ISSN: 0264-4401

Article publication date: 7 November 2023

Issue publication date: 5 December 2023

61

Abstract

Purpose

This paper aims to develop an efficient algorithm combining straightforward response surface functions with Monte Carlo simulation to conduct seismic reliability analysis in a systematical way.

Design/methodology/approach

The representative slip surfaces are identified and based on to calibrate multiple response surface functions with acceptable accuracy. The calibrated response surfaces are used to determine the yield acceleration in Newmark sliding displacement analysis. Then, the displacement-based limit state function is adopted to conduct seismic reliability analysis.

Findings

The calibrated response surface functions have fairly good accuracy in predicting the yield acceleration in Newmark sliding displacement analysis. The seismic reliability is influenced by such factors as PGA, spatial variability and threshold value. The proposed methodology serves as an effective tool for geotechnical practitioners.

Originality/value

The multiple sources of a seismic slope response can be effectively determined using the multiple response surface functions, which are easily implemented within geotechnical engineering.

Keywords

Acknowledgements

The authors also thank the anonymous reviewers and the editor for their value comments which improved quality of the manuscript.

Citation

Li, C., Li, L., Cheng, Y., Xu, L. and Yu, G. (2023), "Seismic reliability analysis of slope in spatially variable soils using multiple response surfaces", Engineering Computations, Vol. 40 No. 9/10, pp. 2940-2961. https://doi.org/10.1108/EC-04-2023-0165

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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