Issue |
MATEC Web Conf.
Volume 337, 2021
PanAm-Unsat 2021: 3rd Pan-American Conference on Unsaturated Soils
|
|
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Article Number | 03016 | |
Number of page(s) | 8 | |
Section | Slopes, Embankments, Roads, and Foundations | |
DOI | https://doi.org/10.1051/matecconf/202133703016 | |
Published online | 26 April 2021 |
Evaluation of antecedent rainfall effects in the analysis of the probability of transient failure in unsaturated slopes
Department of Civil and Environmental Engineering, University of Brasilia, Zip Code 70910-900, Brazil
* Corresponding author: anapaolans@gmail.com
The occurrence of extreme events of precipitation is commonly responsible for inducing surface mass movements in slopes. Landslides are due to the soil-atmosphere interactions. The main inducer of failure in unsaturated slopes is the infiltration, which triggers the reduction of suction, favoring the decrease of stability. Thus, this paper presents the implementation of analytical models to evaluate the probability of transient failure of slopes under unsaturated conditions for a local scale when subjected to antecedent precipitation. In this sense, the model proposed involves an analytical solution to Richards equation for unsaturated flow under transient conditions, capable of analyzing the soil behavior in the infiltration process. Therefore, these analytical models and the geotechnical parameters taken from the case study of a landslide that occurred in Nova Friburgo (Brazil) allowed the simulation of the infiltration process using the precipitation data corresponding to the day of the landslide, as well as four months previous to the collapse. The calculation routine is capable of generating the decreasing performance of the transient factor of safety and the increasing probability of transient failure through a probabilistic approach, allowing easy predicting failure and management of threat of landslides.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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