scholarly journals COMPARING THE VARIOUS SLOPE STABILITY METHODS TO FIND THE OPTIMUM METHOD FOR CALCULATING FACTOR OF SLOPE SAFETY

2020 ◽  
Vol 1 (1) ◽  
pp. 06-09
Author(s):  
Muhammad Israr Khan ◽  
Shuhong Wang
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Factor Of Safety ◽  
Slope Stability Analysis ◽  
Graphical Form ◽  
Earthen Dam ◽  
Analysis Techniques ◽  
Research Article ◽  
Analysis Methods ◽  
Slope Safety

There are various slope stability analysis methods normally used to find the factor of safety of a slope. All the methods have different analysis techniques and formulation, due to which the results also varies in some cases. In this research article, all those methods are compared and the results are provided in graphical form to show the variation. The results can be used in any slope stability project to find the optimum value for factor of slope safety and hence can minimize the risk while designing any slope in hilly areas or in case of designing an earthen dam

scholarly journals Application of Harmony Search Algorithm to Slope Stability Analysis

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1250
Author(s):  
Sina Shaffiee Haghshenas ◽  
Sami Shaffiee Haghshenas ◽  
Zong Woo Geem ◽  
Tae-Hyung Kim ◽  
Reza Mikaeil ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Safety Factor ◽  
Search Algorithm ◽  
Limit Equilibrium ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Slope Stability Analysis ◽  
Unit Weight ◽  
Slope Safety

Slope stability analysis is undoubtedly one of the most complex problems in geotechnical engineering and its study plays a paramount role in mitigating the risk associated with the occurrence of a landslide. This problem is commonly tackled by using limit equilibrium methods or advanced numerical techniques to assess the slope safety factor or, sometimes, even the displacement field of the slope. In this study, as an alternative approach, an attempt to assess the stability condition of homogeneous slopes was made using a machine learning (ML) technique. Specifically, a meta-heuristic algorithm (Harmony Search (HS) algorithm) and K-means algorithm were employed to perform a clustering analysis by considering two different classes, depending on whether a slope was unstable or stable. To achieve the purpose of this study, a database made up of 19 case studies with 6 model inputs including unit weight, intercept cohesion, angle of shearing resistance, slope angle, slope height and pore pressure ratio and one output (i.e., the slope safety factor) was established. Referring to this database, 17 out of 19 slopes were categorized correctly. Moreover, the obtained results showed that, referring to the considered database, the intercept cohesion was the most significant parameter in defining the class of each slope, whereas the unit weight had the smallest influence. Finally, the obtained results showed that the Harmony Search algorithm is an efficient approach for training K-means algorithms.

Extensions to the generalized method of slices for stability analysis

1983 ◽  
Vol 20 (1) ◽  
pp. 104-119 ◽  
Author(s):  
Zu-Yu Chen ◽  
N. R. Morgenstern
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Computer Program ◽  
Factor Of Safety ◽  
Numerical Procedure ◽  
Slope Stability Analysis ◽  
Methods Of Analysis

Extensions are suggested to the generalized method of slices that is commonly used in slope stability analysis. It is shown that restrictions exist on the assumptions used to make the problem statically determinate. In addition, a numerical procedure has been developed to find the bounds to the factor of safety, subject to additional requirements of physical admissibility. As a result of these developments it has been possible to produce a revised computer program that appears to overcome the problems of convergence experienced by other programs in current use. Results obtained with this new analysis confirm the reliability of several methods of analysis used in practice.

scholarly journals ANALISIS KESTABILAN LERENG DENGAN SOFTWARE ROCSCIENCE SLIDE

2018 ◽  
Author(s):  
Darmadi Ir
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Case Studies ◽  
Safety Factor ◽  
Factor Of Safety ◽  
Slope Angle ◽  
Maximum Load ◽  
Slope Stability Analysis

Abstract Slope stability analysis with SOFTWARE ROCSCIENCE SLIDE case studies in residential barracks of PT. Freport with various variations in loading and conditions show results The greater the load on the slope, the lower the Factor of Safety value. FS values for all methods, sections, and ramp widths are greater in dry than wet conditions. The greater the load distance from the slope, the greater the FS value. At a distance of 3m from the crest slope the decrease in FS value is very significant, in sections 1 and 2 there is still a secure FS value with a load of 50 kN / m, the smaller the overall slope angle (slope) the greater the FS value.Keywords: Slope stability, safety factor, maximum load

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