Probability Analysis of Slope Stability Analysis

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5th International Scientific Conference on Applied Sciences and Engineering 29-30 December, 2015 Flora Grand Hotel, Dubai, United Arab Emirates

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Abstract of Applied Sciences and Engineering, 2015, Vol.5
DOI: 10.18488/journal.1001/2015.5/1001.5
5th
International Scientific Conference on Applied
Sciences and Engineering
29-30 December, 2015
Flora Grand Hotel, Dubai, United Arab Emirates
Conference Website: www.scihost.org
23
Paper ID: 109/15/ 5
th
ISCASE
Probability Analysis of Slope Stability Analysis
S.Hannachi1
--- R.Benia2
--- M.W.Belouar3
--- A.Belouar4
1,2,3,4
Laboratory of Materials and Durability of Constructions, Department of Civil Engineering,
University of Constantine 1, Algeria
Abstract
The aim of this paper is to present a probability analysis using the Monte Carlo
simulation method of uncertainty (MCSM). The results of this method will be compared
to all recognized method of slope stability such as Bishop simplified, Fellenuis, Janbu
simplified and corrected, Spencer and Lowe-Karafiath which are in general in limit
equilibrium. This study has been done by a normal frequency distribution relative for all
the parameters taken in considerations. From the mean values and the standard
deviations of the pore water pressure, cohesion and the internal angle of friction with
the correlation relation between these parameters, a set of random values of pore
water pressure, cohesion and internal angle of friction where generated by computing
a Critical Probabilistic Slip Surface. The analysis of the obtained results indicates that
the failure probability is affected by the standard deviation of the pore water pressure,
cohesion, internal angle of friction and correlation coefficient. However, all methods of
equilibrium limit are affecting the failure probability by taking in account one of these
parameters following each case. Nevertheless the probability of failure is not
significantly affected by the standard deviation of the unit weight for all methods.
Keywords: Probability, slope stability, Monte Carlo simulation, Latin hypercube, Factor of safety

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