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Seismic reliability analysis of soil slope based on Newmark sliding block model with representative slip surfaces and response surfaces
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  • Guangming Yu,
  • Chunli Li,
  • Liang Li,
  • Hongbiao Yu
Guangming Yu
Qingdao University of Technology
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Chunli Li
Qingdao University of Technology
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Liang Li
Qingdao University of Technology

Corresponding Author:[email protected]

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Hongbiao Yu
China Communications Construction Co Ltd
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Abstract

This paper presents a framework combining Monte Carlo Simulation (MCS) and the Newmark sliding block model with Representative slip surfaces (RSS) (model II) and Multiple response surfaces method (MRSM) to conduct seismic reliability analysis and risk assessment of soil slopes. An empirical threshold is introduced to define the limit state function to identify the failure samples in MCS and the sliding area and Newmark sliding displacement are multiplied to quantify the failure consequence. The proposed methodology is illustrated through a soil slope with multiple layers. The calculation results demonstrate that traditional Newmark sliding block model (model I) tend to underestimate the variations of yield acceleration. Both the failure probability and landslide risk exhibit decreasing trends with the increase of threshold. Significant discrepancy in failure probability and landslide risk between two models is found even for a small threshold. It is therefore, the proposed methodology is highly recommended in seismic reliability analysis and risk assessment. The contributions of RSSs to the failure probability and landslide risk are insensitive to the variation of displacement thresholds.
19 Apr 2023Submitted to Engineering Reports
20 Apr 2023Submission Checks Completed
20 Apr 2023Assigned to Editor
20 Apr 2023Review(s) Completed, Editorial Evaluation Pending
24 Apr 2023Reviewer(s) Assigned
11 May 2023Editorial Decision: Revise Major
14 May 20231st Revision Received
15 May 2023Submission Checks Completed
15 May 2023Assigned to Editor
15 May 2023Review(s) Completed, Editorial Evaluation Pending
15 May 2023Reviewer(s) Assigned
05 Jun 2023Editorial Decision: Accept