Shah Malekpoor, Pooneh;
Lopez-Querol, Susana;
Javankhoshdel, Sina;
(2024)
Pseudo-static approach for slope stability analysis within a stochastic probabilistic framework for moderate earthquakes.
Soil Dynamics and Earthquake Engineering
, 184
, Article 108846. 10.1016/j.soildyn.2024.108846.
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Abstract
The routine pseudo-static (PS) approach does not consider the random variability of the seismic load which might lead to unconservative estimates of the slope failure probability in specific seismic regions and soil slopes. This research explores the effect of random variable PS loading in the stochastic slope stability analysis by employing the limit equilibrium method (LEM) of slices, Monte Carlo (MC) simulation and random field theory, termed 2D-RPSLEM. Results show the sensitivity of the problem to various factors, including different levels of uncertainty of the PS loading and the magnitude of the PS coefficient. In summary, it was observed that the inclusion of random variability for the PS coefficient leads to more conservative results for slopes with deterministic safety factors above 1.1 while resulting in lower risks for slopes with lower safety factors for larger magnitude seismic loads.
| Type: | Article |
|---|---|
| Title: | Pseudo-static approach for slope stability analysis within a stochastic probabilistic framework for moderate earthquakes |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.soildyn.2024.108846 |
| Publisher version: | https://doi.org/10.1016/j.soildyn.2024.108846 |
| Language: | English |
| Additional information: | Copyright © 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Slope stability; PS approach; Soil spatial variability; Random variability of input load; Non-circular RLEM |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10194453 |
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