Open AccessDeterministic and Probabilistic Analysis of Dasdhunga Soil Slope along Narayangarh-Mugling Road Section
Author(s) -
Saurav Kumar Shrestha,
Indra Prasad Acharya,
Ranjan Kumar Dahal
Publication year - 2021
Publication title -
journal of advance college of engineering and management
Language(s) - English
Resource type - Journals
ISSN - 2392-4853
DOI - 10.3126/jacem.v6i0.38358
Subject(s) - friction angle , factor of safety , cohesion (chemistry) , monte carlo method , slope stability , standard deviation , mathematics , geotechnical engineering , probabilistic logic , sensitivity (control systems) , finite element method , truncated normal distribution , slope stability analysis , probabilistic analysis of algorithms , safety factor , probability density function , intensity (physics) , statistics , geology , structural engineering , engineering , physics , quantum mechanics , electronic engineering
Instability of slopes is usually governed by a combination of intrinsic and extrinsic factors. The inherent variability of parameters make the problem probabilistic rather than a deterministic one. This research deals with evaluation of stability of slopes with the calculation of the factor of safety of Dasdhunga soil slope along Narayangarh- Mugling road section under different rainfall conditions through the use of coupled finite element and limit equilibrium method in GeoStudio and the determination of probability of failure by sliding, modeled as infinite slopes by using Monte Carlo simulation in R-Studio. Mean, standard deviation, minimum and maximum values of the parameters like- friction angle, cohesion and unit weight were computed from eight samples of the slope. The pore water pressure developed and its corresponding statistical data for different rainfall conditions were computed from FEM based SEEP/W simulation. The above parameters are assumed to follow truncated normal probability distribution function and the geometric parameters like height and slope angle are regarded as constant parameters. It was observed that the safety factors for theslopeis low in high intensity-low duration rainfalls and the probability of failure is high. The tendency to fail increases as the return period of rainfall increases and viceversa. Sensitivity analysis performed in both deterministic and probabilistic methods showed that friction angle is the most sensitive.