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

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

Navneet Himanshu, Avijit Burman, Vinay Kumar
Copyright: © 2021 |Volume: 12 |Issue: 1 |Pages: 31
ISSN: 1947-8283|EISSN: 1947-8291|EISBN13: 9781799861126|DOI: 10.4018/IJAMC.2021010107
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MLA

Himanshu, Navneet, et al. "Numerical Study of Optimal Location of Non-Circular Segmented Failure Surface in Soil Slope With Weak Soil Layer." IJAMC vol.12, no.1 2021: pp.111-141. http://doi.org/10.4018/IJAMC.2021010107

APA

Himanshu, N., Burman, A., & Kumar, V. (2021). Numerical Study of Optimal Location of Non-Circular Segmented Failure Surface in Soil Slope With Weak Soil Layer. International Journal of Applied Metaheuristic Computing (IJAMC), 12(1), 111-141. http://doi.org/10.4018/IJAMC.2021010107

Chicago

Himanshu, Navneet, Avijit Burman, and Vinay Kumar. "Numerical Study of Optimal Location of Non-Circular Segmented Failure Surface in Soil Slope With Weak Soil Layer," International Journal of Applied Metaheuristic Computing (IJAMC) 12, no.1: 111-141. http://doi.org/10.4018/IJAMC.2021010107

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Abstract

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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