چکیده (انگلیسی):

The stability of slopes is always under severe threats in many parts of Western Ghats, especially in Kallar-
Coonoor hill road stretch, causing disruption, loss of human life and economy. To minimize the instability
of soil slope in between Kallar-Coonoor, a critical evaluation of roads is required. The stability of slopes
depends on the soil shear strength parameters such as Cohesion, Angle of internal friction, Unit weight of
soil and Slope geometry. The stability of a slope is measured by its factor of safety using geometric and
shear strength parameter based on infinite slopes. In this present study, investigation was carried out at 32
locations in the above said hill road stretch to estimate the factor of safety of the slope determined by Mohr-
Coulomb theory based on shear strength parameter calculated from direct shear test which is a conventional
procedure for this study. Back Propagation Artificial Neural Network (BP-ANN) Model is used to predict
the factor of safety. The input parameters for the (BP-ANN) are chosen as Cohesion, Angle of internal
friction, Density and Slope angle and the factor of safety as output. Out of the parameters of 32 locations,
the study of BP-ANN is trained with parameters of first 25 locations. Factor of safety was calculated for the
remaining 7 locations. The results obtained in BP-ANN method were compared with that of conventional
method and observed a good agreement between these two methods. The results obtained from these two
methods were also compared with the details of actual field Landslide occurred and indicates 71.4% of
conventional method locations matching with the physical occurrences and 85.7% of BP-ANN predicted
vulnerable locations match with the physically observed landslide locations.