Table of Contents Author Guidelines Submit a Manuscript
Advances in Civil Engineering
Volume 2018, Article ID 2120854, 12 pages
Research Article

Probabilistic Analysis of Weathered Soil Slope in South Korea

1Oregon State University, 101 Kearney Hall, Corvallis, OR 97331, USA
2Department of Rural Systems Engineering and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea

Correspondence should be addressed to Younghwan Son;

Received 4 April 2018; Revised 25 May 2018; Accepted 25 June 2018; Published 18 July 2018

Academic Editor: Tiago Ferreira

Copyright © 2018 Taeho Bong and Younghwan Son. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Rainfall is a major trigger of shallow slope failures, and it is necessary to consider the spatial correlation of soil properties for probabilistic analysis of slope stability in heterogeneous soil. In this study, a case study of a weathered soil slope in Korea was performed to identify the rainfall-induced landslides considering the spatial variability of the soil properties and the probabilistic rainfall intensity depending on the return period and the rainfall duration. Various laboratory tests were performed to determine the physical properties of the site, and an electrical resistivity survey was carried out to understand the soil strata. Cohesion, friction angle, and permeability were considered as random variables considering the spatial variability, and the probabilistic rainfall intensities for return period of 2, 5, 10, 50, 100, and 200 years were used to consider the effects of rainfall infiltration. The results showed that a probabilistic framework can be used to efficiently consider the spatial variability of soil properties, and various slope failure patterns were identified according to the spatial variability of the soil properties and the probabilistic rainfall intensity.