Reliability analysis of earth slopes using hybrid chaotic particle swarm optimization
A numerical procedure for reliability analysis of earth slope based on advanced first-order second-moment method is presented, while soil properties and pore water pressure may be considered as random variables. The factor of safety and performance function is formulated utilizing a new approach of...
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Published in | Journal of Central South University Vol. 18; no. 5; pp. 1626 - 1637 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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Changsha
Central South University
01.10.2011
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Abstract | A numerical procedure for reliability analysis of earth slope based on advanced first-order second-moment method is presented, while soil properties and pore water pressure may be considered as random variables. The factor of safety and performance function is formulated utilizing a new approach of the Morgenstern and Price method. To evaluate the minimum reliability index defined by Hasofer and Lind and corresponding critical probabilistic slip surface, a hybrid algorithm combining chaotic particle swarm optimization and harmony search algorithm called CPSOHS is presented. The comparison of the results of the presented method, standard particle swarm optimization, and selected other methods employed in previous studies demonstrates the superior successful functioning of the new method by evaluating lower values of reliability index and factor of safety. Moreover, the presented procedure is applied for sensitivity analysis and the obtained results show the influence of soil strength parameters and probability distribution types of random variables on the reliability index of slopes. |
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AbstractList | A numerical procedure for reliability analysis of earth slope based on advanced first-order second-moment method is presented, while soil properties and pore water pressure may be considered as random variables. The factor of safety and performance function is formulated utilizing a new approach of the Morgenstern and Price method. To evaluate the minimum reliability index defined by Hasofer and Lind and corresponding critical probabilistic slip surface, a hybrid algorithm combining chaotic particle swarm optimization and harmony search algorithm called CPSOHS is presented. The comparison of the results of the presented method, standard particle swarm optimization, and selected other methods employed in previous studies demonstrates the superior successful functioning of the new method by evaluating lower values of reliability index and factor of safety. Moreover, the presented procedure is applied for sensitivity analysis and the obtained results show the influence of soil strength parameters and probability distribution types of random variables on the reliability index of slopes. |
Author | Khajehzadeh, M. Taha, M. R. El-Shafie, A. |
Author_xml | – sequence: 1 givenname: M. surname: Khajehzadeh fullname: Khajehzadeh, M. email: mohammad.khajehzadeh@gmail.com organization: Civil and Structural Engineering Department, University Kebangsaan Malaysia – sequence: 2 givenname: M. R. surname: Taha fullname: Taha, M. R. organization: Civil and Structural Engineering Department, University Kebangsaan Malaysia – sequence: 3 givenname: A. surname: El-Shafie fullname: El-Shafie, A. organization: Civil and Structural Engineering Department, University Kebangsaan Malaysia |
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Cites_doi | 10.1061/(ASCE)1090-0241(1999)125:4(301) 10.1016/j.compgeo.2007.01.004 10.1038/261459a0 10.1061/(ASCE)0733-9410(1994)120:12(2180) 10.1016/0951-8320(92)90002-3 10.1080/03052150701618153 10.1016/j.compgeo.2006.10.012 10.1680/geot.1955.5.1.7 10.1139/t97-032 10.1680/geot.1965.15.1.79 10.1139/t04-072 10.1016/S0167-4730(03)00023-7 10.1139/t77-045 10.1016/S0266-352X(03)00059-4 10.1177/003754970107600201 10.1061/(ASCE)1090-0241(2006)132:11(1444) 10.1016/j.compgeo.2010.07.007 10.1016/0167-4730(91)90041-7 10.1680/geot.1967.17.1.11 10.1139/t99-038 10.1007/s11771-010-0566-5 |
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Keywords | stability assessment harmony search particle swarm optimization reliability analysis earth slopes |
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