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Reliability Evaluation of Slopes Using Particle Swarm Optimization

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@article{IJASEIT123,
   author = {Mohammad Khajehzadeh and Mohd. Raihan Taha and Ahmed El-shafie},
   title = {Reliability Evaluation of Slopes Using Particle Swarm Optimization},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {1},
   number = {6},
   year = {2011},
   pages = {613--617},
   keywords = {Slope stability; reliability evaluation; particle swarm optimization},
   abstract = {The objective of this research is to develop a numerical procedure to reliability evaluation of earth slope and locating the critical probabilistic slip surface. The performance function is  formulated using simplified Bishop’s limit equilibrium method  to calculate the reliability index. The reliability index defined by Hasofer and Lind is used as an index of safety measure. Searching the critical probabilistic surface that is associated with the lowest reliability index will be formulated as an optimization problem. In this paper, particle swarm optimization is applied to calculate the minimum Hasofer and Lind reliability index and critical probabilistic failure surface. To demonstrate the applicability and to investigate the effectiveness of the algorithm, two numerical examples from literature are illustrated. Results show that the proposed method is capable to achieve better solutions for reliability analysis of slope if compared with those reported in the literature.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=123},
   doi = {10.18517/ijaseit.1.6.123}
}

EndNote

%A Khajehzadeh, Mohammad
%A Taha, Mohd. Raihan
%A El-shafie, Ahmed
%D 2011
%T Reliability Evaluation of Slopes Using Particle Swarm Optimization
%B 2011
%9 Slope stability; reliability evaluation; particle swarm optimization
%! Reliability Evaluation of Slopes Using Particle Swarm Optimization
%K Slope stability; reliability evaluation; particle swarm optimization
%X The objective of this research is to develop a numerical procedure to reliability evaluation of earth slope and locating the critical probabilistic slip surface. The performance function is  formulated using simplified Bishop’s limit equilibrium method  to calculate the reliability index. The reliability index defined by Hasofer and Lind is used as an index of safety measure. Searching the critical probabilistic surface that is associated with the lowest reliability index will be formulated as an optimization problem. In this paper, particle swarm optimization is applied to calculate the minimum Hasofer and Lind reliability index and critical probabilistic failure surface. To demonstrate the applicability and to investigate the effectiveness of the algorithm, two numerical examples from literature are illustrated. Results show that the proposed method is capable to achieve better solutions for reliability analysis of slope if compared with those reported in the literature.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=123
%R doi:10.18517/ijaseit.1.6.123
%J International Journal on Advanced Science, Engineering and Information Technology
%V 1
%N 6
%@ 2088-5334

IEEE

Mohammad Khajehzadeh,Mohd. Raihan Taha and Ahmed El-shafie,"Reliability Evaluation of Slopes Using Particle Swarm Optimization," International Journal on Advanced Science, Engineering and Information Technology, vol. 1, no. 6, pp. 613-617, 2011. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.1.6.123.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Khajehzadeh, Mohammad
AU  - Taha, Mohd. Raihan
AU  - El-shafie, Ahmed
PY  - 2011
TI  - Reliability Evaluation of Slopes Using Particle Swarm Optimization
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 1 (2011) No. 6
Y2  - 2011
SP  - 613
EP  - 617
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Slope stability; reliability evaluation; particle swarm optimization
N2  - The objective of this research is to develop a numerical procedure to reliability evaluation of earth slope and locating the critical probabilistic slip surface. The performance function is  formulated using simplified Bishop’s limit equilibrium method  to calculate the reliability index. The reliability index defined by Hasofer and Lind is used as an index of safety measure. Searching the critical probabilistic surface that is associated with the lowest reliability index will be formulated as an optimization problem. In this paper, particle swarm optimization is applied to calculate the minimum Hasofer and Lind reliability index and critical probabilistic failure surface. To demonstrate the applicability and to investigate the effectiveness of the algorithm, two numerical examples from literature are illustrated. Results show that the proposed method is capable to achieve better solutions for reliability analysis of slope if compared with those reported in the literature.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=123
DO  - 10.18517/ijaseit.1.6.123

RefWorks

RT Journal Article
ID 123
A1 Khajehzadeh, Mohammad
A1 Taha, Mohd. Raihan
A1 El-shafie, Ahmed
T1 Reliability Evaluation of Slopes Using Particle Swarm Optimization
JF International Journal on Advanced Science, Engineering and Information Technology
VO 1
IS 6
YR 2011
SP 613
OP 617
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Slope stability; reliability evaluation; particle swarm optimization
AB The objective of this research is to develop a numerical procedure to reliability evaluation of earth slope and locating the critical probabilistic slip surface. The performance function is  formulated using simplified Bishop’s limit equilibrium method  to calculate the reliability index. The reliability index defined by Hasofer and Lind is used as an index of safety measure. Searching the critical probabilistic surface that is associated with the lowest reliability index will be formulated as an optimization problem. In this paper, particle swarm optimization is applied to calculate the minimum Hasofer and Lind reliability index and critical probabilistic failure surface. To demonstrate the applicability and to investigate the effectiveness of the algorithm, two numerical examples from literature are illustrated. Results show that the proposed method is capable to achieve better solutions for reliability analysis of slope if compared with those reported in the literature.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=123
DO  - 10.18517/ijaseit.1.6.123