The Use of the Simple Genetic Algorithm in the Non-Circular Analysis of Slope Stability

McCombie, Paul; Zolfaghari, A R; Heath, Andrew

doi:10.4203/ccp.82.33

Cited by 2 publications

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“…With the support of Tensar International, this method has been implemented in their program TensarSlope, an interactive, graphically based tool for the design of reinforced soil slopes using Bishop's or Janbu's simplified methods. A Simple Genetic Algorithm (SGA) search tool originally developed for circular failure surfaces (McCombie and Wilkinson, 2002) has been incorporated into the program (McCombie, Zolfaghari and Heath, 2005). The SGA could not be used with Janbu's method as the internal deformation is not accounted for, and unrealistic results are obtained.…”

Section: Programmingmentioning

confidence: 99%

Displacement based multiple wedge slope stability analysis

McCombie

2009

Computers and Geotechnics

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A method of slope stability analysis based upon multiple wedges is developed, accounting for kinematics in a similar way to proposals by Srbulov (1997) and Donald and Chen (1999). Instead of relying on almost arbitrary assumptions about stresses on wedge or slice boundaries to demonstrate an equilibrium of both forces and moments, the method works from simple assumptions about the kinematics of movement, increasing displacements and hence resisting forces iteratively until force equilibrium is attained. The procedure is simple and efficient, and ensures that interwedge forces developed by the movement are consistent with the shape of the sliding surface.

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Section: Programmingmentioning

confidence: 99%

Displacement based multiple wedge slope stability analysis

McCombie

2009

Computers and Geotechnics

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“…This modificationmaintainstherequirementofkinematicadmissibilityandmakestheobjectivefunction continuousoversolutiondomain.Manyresearchersanalysedtheslopeproblemhavingalayerof poorgeotechnicalpropertiessandwichedbetweentwostronglayers. Bolton,Heymann,&Groenwold, (2003)consideredslopeproblemhavingaweaklayerwithhorizontalaswellasinclinedgeometric layout.However,themethodofgenerationoffailuresurfaceintheslopeanalysisbyBoltonetal., (2003hasnotbeendescribedindetail.Later,twodifferentslopeswithdifferentgeometryandweak layer embedded between successive strong layers have been analysed by Zolfaghari, Heath, & McCombie,(2005).Theresearcherexplainedanoveltechniqueofgeneratingnon-circularfailure surfaceswithelevendifferentcategoriesbasedonchangeinbaseangles 'D i .Inrecentpast, ; Cheng,Li,Chi,&Wei,(2007)analysedthesoilslopewithanothernewtechnique ofgenerationofnon-circularfailuresurfaceefficiently. ; described the method of generation of non-circular failure surface in details and demonstrateditsefficiencyforthehomogeneousaswellasheterogenousslopes.But,didnotdescribe themodificationsrequiredforgeneratingnon-circularfailuresurfaces(i.e.non-concaveinnature) fortheslopeshavingsandwichedweaksoillayer.However,thereportednon-circularfailuresurface andcorrespondingFOSvaluesbyCheng, ; Cheng,Li,Chi,etal.,(2007)showed thatthemethodworkedveryefficiently.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study of Optimal Location of Non-Circular Segmented Failure Surface in Soil Slope With Weak Soil Layer

Himanshu

Burman

Kumar

2021

International Journal of Applied Metaheuristic Computing

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The article addresses stability analysis of complicated slopes having weak soil layer sandwiched between two strong layers. The search for critical failure surface and associated optimum/minimum factor of safety (FOS) among all potential failure surfaces can be posed as an optimization problem. Two different variants of particle swarm optimization (PSO) models, namely inertia weight-based PSO (IW-PSO) and contemporary standard PSO (CS-PSO), are used to obtain optimum global solution. Detailed comparison between the global optimum solutions obtained from two PSO variants and the effect of swarm size is studied. The performance of IW-PSO and CS-PSO are studied by observing the convergence behavior of the respective algorithms with respect to iteration count. The influence of velocity clamping on the optimized solution is investigated and its use is found beneficial as it prevents the solution from overflying the region with global best solution. The studies related to swarm diversity demonstrating the exploitation and exploration behaviors of the algorithms are also presented.

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The Use of the Simple Genetic Algorithm in the Non-Circular Analysis of Slope Stability

Cited by 2 publications

References 0 publications

Displacement based multiple wedge slope stability analysis

Displacement based multiple wedge slope stability analysis

Numerical Study of Optimal Location of Non-Circular Segmented Failure Surface in Soil Slope With Weak Soil Layer

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