PHILIPS OMOWUMI FALAE
Articles written in Journal of Earth System Science
Volume 130 All articles Published: 14 August 2021 Article ID 0167 Research article
The stability of slope is usually characterized by many parameters which are mostly uncertain in nature. Deterministic approach is usually followed to calculate the factor of safety of a slope, but it does not depict the true state of the slope. Hence, a probabilistic approach is a better alternative, which can quantify the probability of failure of a slope under uncertain input parameters. In the present study, slope stability assessment of Pakhi landside is carried out using finite element modelling (FEM) to ascertain the stability conditions of the multilayer slope under both deterministic and probabilistic framework. The multilayer configurations of the profiles are established from the electrical resistivity tomography (ERT). The shear strength reduction (SSR) method is employed to determine the critical strength reduction factor of the slope considering four random variables, namely, cohesion (
$\bullet$ Electrical resistivity tomography (ERT) interpretations could delineate sub-surface geometry of lithological layers of the landslide slope.
$\bullet$ Numerical simulation is performed using the finite element modelling.
$\bullet$ Sampling of random variables is done using the Latin Hypercube sampling technique.
$\bullet$ Probabilistic analysis is performed using the MARS-based surrogate model for Monte-Carlo simulation (MCS) with two values of
$\bullet$ Efficiency of machine learning algorithm to incorporate with the stand alone FE code is demonstrated to build a surrogate model for an efficient probabilistic slope stability analysis.
Volume 130, 2021
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