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http://dx.doi.org/10.12989/sss.2011.7.4.263

Real-time unsaturated slope reliability assessment considering variations in monitored matric suction  

Choi, Jung Chan (Department of Civil and Environmental Engineering, KAIST)
Lee, Seung Rae (Department of Civil and Environmental Engineering, KAIST)
Kim, Yunki (Civil ENG Team, Samsung C&T Corp.)
Song, Young Hoon (Hyundai Engineering & Construction Co., LTD.)
Publication Information
Smart Structures and Systems / v.7, no.4, 2011 , pp. 263-274 More about this Journal
Abstract
A reliability-based slope stability assessment method considering fluctuations in the monitored matric suction was proposed for real-time identification of slope risk. The assessment model was based on the limit equilibrium model for infinite slope failure. The first-order reliability method (FORM) was adopted to calculate the probability of slope failure, and results of the model were compared with Monte-Carlo Simulation (MCS) results to validate the accuracy and efficiency of the model. The analysis shows that a model based on Advanced First-Order Reliability Method (AFORM) generates results that are in relatively good agreement with those of the MCS, using a relatively small number of function calls. The contribution of random variables to the slope reliability index was also examined using sensitivity analysis. The results of sensitivity analysis indicate that the effective cohesion c' is a significant variable at low values of mean matric suction, whereas matric suction ($u_a-u_w$) is the most influential factor at high mean suction values. Finally, the reliability indices of an unsaturated model soil slope, which was monitored by a wireless matric suction measurement system, were illustrated as 2D images using the suggested probabilistic model.
Keywords
unsaturated soil slope; reliability analysis; real-time monitoring;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
Times Cited By Web Of Science : 0  (Related Records In Web of Science)
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