Abstract
Spatial variability of soil properties is one of the major uncertainties in geotechnical properties that significantly affect slope reliability and risk. To account for the effect of three-dimensional (3-D) spatial variability, an efficient random finite element method (RFEM), named auxiliary RFEM (ARFEM), is proposed for 3-D slope reliability analysis and risk assessment. The ARFEM consists of two steps: the preliminary analysis using a relatively coarse 3-D finite-element model and subset simulation, and the target analysis using a detailed 3-D finite-element model and response conditioning method. Compared with direct Monte Carlo simulation-based RFEM, ARFEM can provide consistent reliability and risk estimates with much less computational efforts. In addition, it is found that both the horizontal and vertical spatial variability have significant, but different, impacts on 3-D slope reliability, risk and failure mechanisms.
Original language | English |
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Title of host publication | Geotechnical Special Publication |
Editors | Jinsong Huang, Gordon A. Fenton, Limin Zhang, D. V. Griffiths |
Publisher | American Society of Civil Engineers (ASCE) |
Pages | 120-129 |
Number of pages | 10 |
Edition | GSP 283 |
ISBN (Electronic) | 9780784480700 |
DOIs | |
Publication status | Published - 2017 |
Externally published | Yes |
Event | Geo-Risk 2017: Reliability-Based Design and Code Developments - Denver, United States Duration: Jun 4 2017 → Jun 7 2017 |
Publication series
Name | Geotechnical Special Publication |
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Number | GSP 283 |
Volume | 0 |
ISSN (Print) | 0895-0563 |
Conference
Conference | Geo-Risk 2017: Reliability-Based Design and Code Developments |
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Country/Territory | United States |
City | Denver |
Period | 6/4/17 → 6/7/17 |
Bibliographical note
Publisher Copyright:© ASCE.
ASJC Scopus Subject Areas
- Civil and Structural Engineering
- Architecture
- Building and Construction
- Geotechnical Engineering and Engineering Geology