Seismic reliability analysis of soil slope based on Newmark sliding block model with representative slip surfaces and response surfaces
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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-11-01
|
Series: | Engineering Reports |
Subjects: | |
Online Access: | https://doi.org/10.1002/eng2.12713 |
_version_ | 1827767690812456960 |
---|---|
author | Guangming Yu Chunli Li Liang Li Hongbiao Yu |
author_facet | Guangming Yu Chunli Li Liang Li Hongbiao Yu |
author_sort | Guangming Yu |
collection | DOAJ |
description | 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. 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. |
first_indexed | 2024-03-11T12:01:35Z |
format | Article |
id | doaj.art-4c2b5ae04da04a3cb706c427d5fb3f9f |
institution | Directory Open Access Journal |
issn | 2577-8196 |
language | English |
last_indexed | 2024-03-11T12:01:35Z |
publishDate | 2023-11-01 |
publisher | Wiley |
record_format | Article |
series | Engineering Reports |
spelling | doaj.art-4c2b5ae04da04a3cb706c427d5fb3f9f2023-11-08T01:46:21ZengWileyEngineering Reports2577-81962023-11-01511n/an/a10.1002/eng2.12713Seismic reliability analysis of soil slope based on Newmark sliding block model with representative slip surfaces and response surfacesGuangming Yu0Chunli Li1Liang Li2Hongbiao Yu3School of Civil Engineering Qingdao University of Technology Qingdao ChinaSchool of Civil Engineering Qingdao University of Technology Qingdao ChinaSchool of Civil Engineering Qingdao University of Technology Qingdao ChinaTunnel Engineering Company Ltd. China Communications Construction Co. Ltd. Beijing ChinaAbstract 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. 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.https://doi.org/10.1002/eng2.12713landslide riskmultiple response surfacesNewmark sliding displacementseismic reliability analysis |
spellingShingle | Guangming Yu Chunli Li Liang Li Hongbiao Yu Seismic reliability analysis of soil slope based on Newmark sliding block model with representative slip surfaces and response surfaces Engineering Reports landslide risk multiple response surfaces Newmark sliding displacement seismic reliability analysis |
title | Seismic reliability analysis of soil slope based on Newmark sliding block model with representative slip surfaces and response surfaces |
title_full | Seismic reliability analysis of soil slope based on Newmark sliding block model with representative slip surfaces and response surfaces |
title_fullStr | Seismic reliability analysis of soil slope based on Newmark sliding block model with representative slip surfaces and response surfaces |
title_full_unstemmed | Seismic reliability analysis of soil slope based on Newmark sliding block model with representative slip surfaces and response surfaces |
title_short | Seismic reliability analysis of soil slope based on Newmark sliding block model with representative slip surfaces and response surfaces |
title_sort | seismic reliability analysis of soil slope based on newmark sliding block model with representative slip surfaces and response surfaces |
topic | landslide risk multiple response surfaces Newmark sliding displacement seismic reliability analysis |
url | https://doi.org/10.1002/eng2.12713 |
work_keys_str_mv | AT guangmingyu seismicreliabilityanalysisofsoilslopebasedonnewmarkslidingblockmodelwithrepresentativeslipsurfacesandresponsesurfaces AT chunlili seismicreliabilityanalysisofsoilslopebasedonnewmarkslidingblockmodelwithrepresentativeslipsurfacesandresponsesurfaces AT liangli seismicreliabilityanalysisofsoilslopebasedonnewmarkslidingblockmodelwithrepresentativeslipsurfacesandresponsesurfaces AT hongbiaoyu seismicreliabilityanalysisofsoilslopebasedonnewmarkslidingblockmodelwithrepresentativeslipsurfacesandresponsesurfaces |