Locating Critical Failure Surface in Rock Slope Stability with Hybrid Model Based on Artificial Immune System and Cellular Learning Automata (CLA-AIS)
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32821
Locating Critical Failure Surface in Rock Slope Stability with Hybrid Model Based on Artificial Immune System and Cellular Learning Automata (CLA-AIS)

Authors: Ramin Javadzadeh, Emad Javadzadeh

Abstract:

Locating the critical slip surface with the minimum factor of safety for a rock slope is a difficult problem. In recent years, some modern global optimization methods have been developed with success in treating various types of problems, but very few of such methods have been applied to rock mechanical problems. In this paper, use of hybrid model based on artificial immune system and cellular learning automata is proposed. The results show that the algorithm is an effective and efficient optimization method with a high level of confidence rate.

Keywords: CLA-AIS, failure surface, optimization methods, rock slope.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1080050

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1961

References:


[1] A.W. Bishop, "The use of the slip circle in the stability analysis of slopes". Geotechnique, 1955 vol.5, pp.7-17.
[2] N. R. Morgenstem and V. E. Price,"The analysis of stability of general slip surface". Geotechnique, 1965 vol.15, pp.79-93.
[3] E. Spencer, "A method of analysis of the stability of embankments assuming parallel interslice force". Geotechnique, 1967 vol.17, pp.11- 26
[4] D. G. Fredland, and J. Krahn, "Comparison of sloope stability method of analysis", Con . Geot .J, 1977, vol.14, pp.429-439.
[5] , I. B. Donald and P. S. K. Giam, "a. Improved comprehensive limit equilibrium stability analysis", Dept. of Civil Engrg, Report No .1/1989, Monash University, Melbourne, Australia.
[6] H. Bandemer. and S. Gottwald ,. "Fuzzy set, fuzzy logic, fuzzy methods with applications", 1994, wiley & sons, Ltd
[7] M. T Hagan , H. B. Demutch and M. Beale, "Neural Network Desig"n, PWS Publishing Company.
[8] Z. Michalewicz, "Genetic Algorithms + Data Structures = Evolution Programs", 1996 Springer-Verlag, Berlin.
[9] A. P. Engelbercht. "Computational Intelligence An Introduction", 2007, Second Edition, John Wiley & sons, Ltd
[10] ,I. C. Trelea, "The particle swarm optimization algorithm, Convergence analysis and parameter selection", 2003, Information Processing, vol.6, pp. 317-325.