Global Search Method for Locating General Slip Surface Using Monte Carlo Techniques

Malkawi, Abdallah I. Husein; Hassan, Waleed F.; Sarma, S. K.

doi:10.1061/(asce)1090-0241(2001)127:8(688)

Cited by 150 publications

(59 citation statements)

References 37 publications

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“…However, too many constrains are required for implementation of this method as an automatic search. Later, Malkawi (2001) also developed an approach based on the Monte-Carlo technique to find the critical failure surface. A large number of trail failure surfaces are generated to ensure the minimum factor safety by avoiding local optima.…”

Section: Slope Stability Analysismentioning

confidence: 99%

Determination of the critical failure surface for slope stability analysis using ant colony optimization

Kahatadeniya

Nanakorn

Neaupane

2009

Engineering Geology

103

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Section: Slope Stability Analysismentioning

confidence: 99%

Determination of the critical failure surface for slope stability analysis using ant colony optimization

Kahatadeniya

Nanakorn

Neaupane

2009

Engineering Geology

103

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“…This idea later followed by Cheng et al [43]. They introduced a Modified PSO procedure in coupling with slip surface generator introduced by Greco [44], Malkawi et al [45], and Cheng Case II: Water pressure and no earthquake loading.…”

Section: Ga and Pso In Slope Stability Analysismentioning

confidence: 99%

A Review: Evolutionary Computations (GA and PSO) in Geotechnical Engineering

Andrab¹,

Hekmat²,

Yusop³

2017

CWEEE

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This study briefly reviews the application of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) in geotechnical engineering since GA and PSO are widely used in civil engineering. The application of GA and PSO is studied in three popular families of geotechnical problems including unconfined seepage analysis, slope stability analysis, and foundation design. In each category the available results from different studies are reviewed and compared. The comparison of results shows the desirable accuracy in the predicting of optimal values in the process of analysis and design. The presented methods perform successfully in the reviewed problems. However, PSO predicts the optimum values in fewer numbers of iterations, which suggests higher performance in term of implementation/application.

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“…In reality, the slope stability changes with changes in the stress state. Researchers [11][12][13][14] are currently looking for the sliding center and slip surface, supplementing and modifying the basic assumptions of the slice method, and providing a fundamental basis in engineering applications for the slice method. However, defects of slice method and statically indeterminate problem of this method [15] have produced challenges in practical engineering applications.…”

Section: Introductionmentioning

confidence: 99%

A New Calculation Method for the Soil Slope Safety Factor

Fu¹,

Zhang²,

Sun³

2017

Mathematical Problems in Engineering

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Based on the unified strength theory, a new method to calculate the plane soil slope safety factor was derived that considers the effect of intermediate principal stress 2 and at-rest lateral pressure coefficient 0 . Calculation examples from the literature were used to compare the new calculation method and the current slice method; the results showed that both provided good consistency. The new method can provide a reference for slope stability evaluation. The new method was used to calculate the soil slope safety factors for different values of intermediate principal stress parameter , double shear stress parameters , and static lateral pressure coefficient 0 . The results showed that the safety factor increased when was increased; first increased and then decreased when was increased; and increased when 0 was increased. These results show that the intermediate principal stress as well as the stress state and its changes cannot be ignored during soil slope stability analysis. The slope soil characteristics and stress state should be considered to determine the unified strength theoretical parameters and static lateral pressure coefficient, maximize the potential of slope soil strength, and effectively reduce the costs of soil slope engineering.

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Global Search Method for Locating General Slip Surface Using Monte Carlo Techniques

Cited by 150 publications

References 37 publications

Determination of the critical failure surface for slope stability analysis using ant colony optimization

Determination of the critical failure surface for slope stability analysis using ant colony optimization

A Review: Evolutionary Computations (GA and PSO) in Geotechnical Engineering

A New Calculation Method for the Soil Slope Safety Factor

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