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Evaluation of Probabilistic Slope Stability Due to Updating of Indonesia Seismic Hazard Maps
Author(s) -
Dio Alif Hutama,
Himatul Farichah
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/469/1/012084
Subject(s) - probabilistic logic , seismic hazard , geology , hazard , slope stability , stability (learning theory) , seismic loading , hazard map , monte carlo method , seismology , slope failure , geotechnical engineering , slope stability analysis , incremental dynamic analysis , statistics , computer science , seismic analysis , mathematics , landslide , chemistry , organic chemistry , machine learning
This paper presents an evaluation of probabilistic slope stability due to updating of Indonesia seismic hazard maps from 2010 to 2017 edition. The evaluation is conducted by presenting case study to compare the probability of failure of slope which subjected to seismic load determined from those seismic hazard maps. At first, simple slope models are built and the horizontal seismic coefficients are selected. Then, the probabilistic slope stability analysis is conducted using Monte Carlo simulation in LEM-based software so called Rocscience Slide 6.0. The simulation results indicate that the revision of Indonesia seismic hazard maps causes increasing of probability of failure of slope in the study area. These results show that the slope models become more prone to failure subjected to seismic load obtained from the seismic hazard maps.

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