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http://dx.doi.org/10.7843/kgs.2016.32.11.31

Development of Seismic Fragility Curves for Slopes Using ANN-based Response Surface  

Park, Noh-Seok (Dept. of Civil, Safety, and Environmental Engrg., Hankyong National Univ.)
Cho, Sung-Eun (Dept. of Civil, Safety, and Environmental Engrg., Hankyong National Univ.)
Publication Information
Journal of the Korean Geotechnical Society / v.32, no.11, 2016 , pp. 31-42 More about this Journal
Abstract
Usually the seismic stability analysis of slope uses the pseudostatic analysis considering the inertial force by the earthquake as a static load. Geostructures such as slope include the uncertainty of soil properties. Therefore, it is necessary to consider probabilistic method for stability analysis. In this study, the probabilistic stability analysis of slope considering the uncertainty of soil properties has been performed. The fragility curve that represents the probability of exceeding limit state of slope as a function of the ground motion has been established. The Monte Carlo Simulation (MCS) has been implemented to perform the probabilistic stability analysis of slope with pseudostatic analysis. A procedure to develop the fragility curve by the pseudostatic horizontal acceleration has been presented by calculating the probability of failure based on the Artificial Neural Network (ANN) based response surface technique that reduces the required time of MCS. The results showed that the proposed method can get the fragility curve that is similar to the direct MCS-based fragility curve, and can be efficiently used to reduce the analysis time.
Keywords
Slope stability; Fragility curve; Monte Carlo Simulation; Artificial neural network;
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Times Cited By KSCI : 4  (Citation Analysis)
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