scholarly journals Slope Failure Analysis Using Chromaticity Variables

2017 ◽  
Author(s):  
Rashidi Othman ◽  
Mohd Shah Irani Hasni
Keyword(s):  
Failure Analysis ◽  
Slope Failure

Slope-failure Analysis and Classification: Review of a Century of Effort

2005 ◽  
Vol 26 (3) ◽  
pp. 216-247 ◽  
Author(s):  
John (Jack) F. Shroder, Jr. ◽  
Lubica Cvercková ◽  
Kimberlee L. Mulhern
Keyword(s):  
Failure Analysis ◽  
Slope Failure

Cohesive slope failure analysis using methods combining smoothed particle hydrodynamics and response surface function

2019 ◽  
Vol 37 (3) ◽  
pp. 1093-1108
Author(s):  
Liang Li ◽  
Xuesong Chu ◽  
Guangming Yu
Keyword(s):  
Failure Analysis ◽  
Smoothed Particle Hydrodynamics ◽  
Traditional Method ◽  
Slope Failure ◽  
Slip Surface ◽  
Landslide Risk ◽  
Content Type ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
Response Surface Function

Purpose The paper aims to construct a method to simulate the relationship between the parameters of soil properties and the area of sliding mass of the true slip surface of a landslide. Design/methodology/approach The smoothed particle hydrodynamics (SPH) algorithm is used to calibrate a response surface function which is adopted to quantify the area of sliding mass of the true slip surface for each failure sample in Monte Carlo simulation. The proposed method is illustrated through a homogeneous and a heterogeneous cohesive soil slope. Findings The comparison of the results between the proposed method and the traditional method using the slip surface with minimum factor of safety (FSmin) to quantify the failure consequence has shown that the landslide risk tends to be attributed to a variety of risk sources, and that the use of a slip surface with FSmin to quantify the consequence of a landslide underestimates the landslide risk value. The difference of the risk value between the proposed method and the traditional method increases dramatically as the uncertainty of soil properties becomes significant. Practical implications A geotechnical engineer could use the proposed method to perform slope failure analysis. Originality/value The failure consequence of a landslide can be rationally predicted using the proposed method.

scholarly journals Geomechanical Characteristics And Failure Analysis of The Limestone Slope At Sahastradhara-Chamasari Road Dehradun Uttarakhand India

2021 ◽  
Author(s):  
Nirlipta Priyadarshini Nayak ◽  
Harinandan Kumar ◽  
Ashish Aggarwal ◽  
Muralidhar Singh M.
Keyword(s):  
Compressive Strength ◽  
Internal Friction ◽  
Failure Analysis ◽  
Slope Failure ◽  
Axial Strain ◽  
Core Sample ◽  
Loading Conditions ◽  
Angle Of Internal Friction ◽  
The Core ◽  
Limestone Rock

Abstract In this study, the rock slope failure analysis was carried out to predict the stability of the limestone rock in the Sahastradhara-Chamasari Road Dehradun Uttarakhand, India. The limestone rock samples were collected from the study area for testing purposes. The geomechanical parameters like compressive strength, axial strain, young’s modulus, cohesive strength, angle of internal friction, etc., were experimentally determined to study their application in the simulation of slope failure analysis. A 2D model of the study area was developed using the field data for modelling and simulation purposes. Slope failure analysis was carried out using the Finite element method (FEM). Results indicated maximum compressive strength of the core sample as 85.14 MPa while axial strain and elastic modulus were 0.02197 and 842.45 MPa, respectively. The cohesive strength and the angle of internal friction of the core sample were evaluated as 38.59 kPa and 12.96 degree. The slope failure analysis was carried out to determine the factor of safety (FOS) of the slope at variable loading conditions. A decreasing trend of the FOS was observed with loading. The lesser value of FOS at higher loading conditions required the supporting system at the foot level of the slope for the slope stability in the study area.

scholarly journals Slope failure analysis using the random material point method

2016 ◽  
Vol 6 (2) ◽  
pp. 113-118 ◽  
Author(s):  
B. Wang ◽  
M. A. Hicks ◽  
P. J. Vardon
Keyword(s):  
Failure Analysis ◽  
Slope Failure ◽  
Material Point Method ◽  
Material Point ◽  
Point Method
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