Slope Stability Evaluation Based on PSO-PP

Ke Wang; Fei Xu

doi:10.4028/www.scientific.net/AMM.580-583.486

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 580-583Slope Stability Evaluation Based on PSO-PP

Slope Stability Evaluation Based on PSO-PP

Abstract:

Evaluation of slope stability is a complex system problem with uncertainties. Based on the Projection Pursuit (PP), the Particle Swarm Optimization (PSO) and the Logistic Curve Function (LCF), a new model for evaluation of slope stability is developed, which is referred as Projection Pursuit based on Particle Swarm Optimization (PSO-PP). The model, on the one hand, uses PSO to optimize the projection index function and the parameters of LCF. Thus it would ensure the accuracy of the parameters used in the model. On the other hand, the nonlinear relationship between projection values and empirical grades is established according to LCF. The test results of the model show that the model has a very good precision. In this study, the evaluation results obtained by applying the model developed here into Jinping I site hydropower plant are well consistent with the practice situation. It indicates that the model here is feasible and effective in the evaluation of slope stability.

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Periodical:

Applied Mechanics and Materials (Volumes 580-583)

Pages:

486-489

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.580-583.486

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Online since:

July 2014

Authors:

Ke Wang*, Fei Xu

Keywords:

Logistic Curve Function, Particle Swarm Optimization (PSO), Projection Pursuit, Slope, Stability

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