Abstract
Landslide is a frequently repeated problem in many part of the world. This study follows up on a 2015 study, which used the PSO to optimize the STABL program in the slope stability analysis and found the best result in the literature (factor of safety = 1.238). In the current study, a modification of the PSO scripts was proposed and two new parameters (cohesion intercept and frictional angle) were added to the analysis to examine the effect of soil strength parameters. Assuming a negative correlation, it was found that the cohesion intercept had a bigger influence than the frictional angle on the final outcome in the analysis of a sample homogeneous soil slope. The addition of new parameters also reduced the FS of the optimized sliding surface.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chen, W.W., Shen, Z.-P., Wang, J.-A., Tsai, F.: Scripting STABL with PSO for analysis of slope stability. Neurocomputing 148, 167–174 (2015)
Cheng, Y.M., Li, L., Chi, S., Wei, W.B.: Particle swarm optimization algorithm for the location of the critical non-circular failure surface in two-dimensional slope stability analysis. Comput. Geotech. 34, 92–103 (2007)
Malkawi, A.I.H., Hassan, W.F., Sarma, S.K.: Global search method for locating general slip surface using Monte Carlo techniques. J. Geotech. Geoenvironmental Eng. 127(8), 688–698 (2001)
Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of the IEEE International Conference on Neural Networks, pp. 1942–1948. IEEE Service Center (1995)
Eberhart, R., Kennedy, J.: A new optimizer using particle swarm theory. In: Proceedings of the Sixth Symposium on Micro Machine and Human Science, pp. 39–43. IEEE Service Center (1995)
Shi, Y., Eberhart, R.C.: Parameter selection in particle swarm optimization. In: Porto, V.W., Saravanan, N., Waagen, D., Eiben, A.E. (eds.) EP 1998. LNCS, vol. 1447, pp. 591–600. Springer, Heidelberg (1998). doi:10.1007/BFb0040810
Siegel, R.A.: STABL User Manual. Purdue University, West Lafayette (1975)
Shen, Z.-P., Chen, W.W.: Profile orientation and slope stability analysis. Sci. Program. 2016, 1–10 (2016)
Shen, Z.-P., Chen, W.W.: Directional analysis of slope stability using a real example. In: Tan, Y., Shi, Y., Buarque, F., Gelbukh, A., Das, S., Engelbrecht, A. (eds.) ICSI 2015. LNCS, vol. 9140, pp. 176–182. Springer, Cham (2015). doi:10.1007/978-3-319-20466-6_19
Shen, Z.-P., Chen, W.W.: Slope stability analysis using multiple parallel profiles. In: Proceedings of the 11th International Conference on Natural Computation (ICNC). IEEE (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Shen, ZP., Chen, W. (2017). On the Improvement of PSO Scripts for Slope Stability Analysis. In: Tan, Y., Takagi, H., Shi, Y. (eds) Advances in Swarm Intelligence. ICSI 2017. Lecture Notes in Computer Science(), vol 10385. Springer, Cham. https://doi.org/10.1007/978-3-319-61824-1_19
Download citation
DOI: https://doi.org/10.1007/978-3-319-61824-1_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-61823-4
Online ISBN: 978-3-319-61824-1
eBook Packages: Computer ScienceComputer Science (R0)