Contents & References of Analysis of the stability of earthen slopes and optimization of the sliding surface of slopes using the optimization algorithm
List:
The first chapter. 1
1-1- Introduction. 2
1-2- Objectives of the thesis. 4
1-3- Dissertation chapters. 5
The second chapter. 7
2-1- Introduction. 8
2-2- Definition of earthen roof. 8
2-3- Limited gable analysis. 10
2-4- Analysis of a limited gable with a circular sliding surface. 11
2-4-1- mass method for analyzing the stability of a gable with a circular sliding surface. 11
2-4-2- Gable stability analysis with segment method. 17
2-4-3- Modified Beshab method 20
2-4-4- Modified Beshab method for saturated soils. 23
The third chapter. 26
3-1- Introduction. 27
3-2- History of optimization. 29
3-3- Optimization applications in engineering. 30
3-4- Classification of engineering problems. 31
3-4-1- Classification based on the presence of adverbs 31
3-5- Optimization methods inspired by nature. 43
3-5-1- Brief on genetic algorithm. 44
3-5-2- Brief on bird community algorithm. 47
3-6- A look at the different methods used to optimize the sliding surface of earthen slopes. 49
3-6-1- The principles of optimization methods in finding the critical slip surface. 49
3-6-2- The method provided by Celestion and Dunsen. 49
3-6-3- The method presented by Aria and Tagio using the ?conjugate gradient? method. 51
3-6-4- The method provided by Nagio using the simplex method. 51
3-6-5- The method presented by Chen and Shawder using variable metric method. 52
3-7- The advantages of using optimization methods in the analysis of gables 54
Chapter four. 55
4-1- Introduction. 56
4-2-History of bird community algorithm. 57
4-3- Studying the behavior of birds and the basic idea of ??PSO. 58
4-3- PSO algorithm. 58
4-4- The advantages of PSO in comparison with other search algorithms. 63
4-5- Applications of PSO. 64
4-6- Familiarity with PSOSLOPE program. 65
4-7- PSOSLOPE program execution steps. 67
The fifth chapter. 71
5-1- Introduction. 72
5-2- Determining the influencing parameters in the convergence speed of the PSO algorithm. 73
5-3- Solving some practical examples and determining the reliability coefficient of the minimum slip surface and comparing the results with the research results of other researchers 77
4-5- The capabilities and advantages of the bird community algorithm and combining it with Bishop's method in searching for the critical slip surface of earthen slopes 90
Conclusion. 91
Suggestions. 92
Sources and sources. 93
Source:
Arjamand, Mohammad Ali, "Soil Mechanics and Principles of Foundation Engineering", Azadeh Publishing House, Tehran, 2012.
Baraja, M. Das., "Principles of Geotechnical Engineering", volume one, translated and edited by Shapour Tahoni, Pars Ain Publishing House, 1377
Haji Ghazizi, M., "Optimization of slip surfaces in earthen slopes", Master's thesis, Civil Engineering, Tarbiat Modares University, 1377.
Rao, S. S., "Optimization (theory and application)", translated by Mohammad Mahdi Shahidipour, Ferdowsi University Press, Mashhad, 1373.
Shahsundi, Ehsan, "Using the genetic algorithm in finding the critical slip surface of earthen roofs", Master's thesis, civil engineering, soil and foundation mechanics, Shahid Bahnerkerman University (1383).
A.Stacey, M.Jancic and I.Grundy, "Particle Swarm Optimization with Mutation" The 2003 Congress on Evolutionary Computation vol 2,8-12 Dec 2003
Arai, k., Tagyo, k.,"Determination of noncircular slip surface giving the minimum factor of safety in slope stability analysis", Soils and Found., Tokyo, Vol.25, No. 1, pp. 43-51, 1985.
Arnold Verruijt,." SOIL MECHANICS", Delft University of Technology, 2001
Atkinson, J., "The Mechanics of soil & foundation", McGRAW-HILL Co. Pub., 1993.
Baker, R,. Garber, M. "Variational approach to slope stability", Proc.
Celestion, TB., and Duncan, J.M., "Simplifird Search for Noncircular Slip surface," In Proceedings of the 10th International conference on soil mechanics and foundation engineering, Stockholm, Sweden, pp. 391-394, 1981.
Chen, Z. and Shao, C., "Evaluation of minimum factor of safety in slope stability analysis", Canadian Geotechnical J., 25(4), 1988,.,25(4), 1988, pp. 735-748.
Das B.M., Principle of geotechnical engineering, sec. Ed., PWS-KENT Publishing Co., Boston, 1990
Dejong, K.A., “Genetic Algorithms Are Not Function Optimizers”, Proceedings of Workshop on the Foundations of Genetic Algorithms and Classifier Systems, 5-18, 1992.
Denetale, J. S., "Rapid identification of critical slip surfaces structure", J. Geotech. Eng. Vol. 117, no. 10, pp. 1568-1569, 1991.
DW.Merwe and AP.Engelbrecht, "Data Clustering using Particle Swarm Optimization" http://cirg.cs.up.ac.za/publications/CEC2003d.pdf
DW.Merwe and AP.Engelbrecht, "Data Clustering using Particle Swarm Optimization"
H.-BO LIP, Y.-Y. TANG, J. MENG and Y. JP, "Neural Networks Learning Using Vbest Model Particle Swarm Optimization" Proceedings of the Third International Conference on Machine Learning and Cybemetics, Shanghai, 26-29 August 2004.
Husien Malkawi, A. I., Hassan, W . F ., Sarma, S. K., "An efficient search method for finding the critical circular slip surface using the monte carlo technique", Can. Geotech. J., Vol. 38,pp.1081-1089,2001.
J.Kennedy and R.Eberhart, "Particle Swarm Optimization" Proceeding of IEEE International Conference on neural networks vol 4, 27 Nov.-1 Dec 1995.
K.E. Parsopoulos, V.P. Plagianakos, G.D. Magoulas and M.N. Vrahatis, "Improving the Particle Swarm Optimizer by Function "STRETCHING"" vol. 54, Kluwer Academic Publishers, Dordrecht, The Netherlands, 2001, Chapter 28, pp.445-457
L.J. Li a, Z.B. Huang a, F. Liu a, Q.H. Wu b.,"A heuristic particle swarm optimizer for optimization"., Guangzhou 510006, L69 3GJ, 23 November 2006.
M.P.Wachowiak, R.Smol?kov?,Y.Zheng,J.M. Zurada and A.S.Elmaghraby, "An Approach to Multimodal Biomedical Image Registration Utilizing Particle Swarm Optimization" IEEE Transactions on Evolutionary Computation, vol 8, no. 3, JUNE 2004.
McCombie, P., Wilkinson, P.,"The use of the simple genetic algorithm in finding the critical factor of safety in slope stability analysis", Computers and Geotechnics, Vol. 29, pp. 699-714, 2002.
MICHAEL J. WALSH, "Slope Stability", U.S. Army Corps of Engineers CECW-EW Washington, DC 20314-1000., 2003
Neguyen, V . U., "Determination of critical slope failure surface", J. Geotech. Eng., Vol. 111, No. 2, pp. 238-250, 1985.
Nguyen, V.U., "Determination of critical slope failure surfaces", J. Geotech. Eng., 111(2), 1985, pp. 238-250.
R. Kathiravan, R. Ganguli.," Strength design of composite beam using gradient and particle swarm optimization", Bangalore 560012, India, 30 October 2006
R.E. Perez a, K. Behdinan b.," Particle swarm approach for structural design optimization", Institute for Aerospace Studies, University of Toronto, 4925 Dufferin Street, Toronto, Ont., Canada M3H 5T6., J., Vol.350 Victoria Street, Toronto, Ont., Canada M5B 2K3., 31 October 2006
R.Hassan, B.Cohanim, O.de.Weck and G.Venter, "A Comparison Of Particle Swarm Optimization and The Genetic Algorithn" in 13th AIAA/ASME/AHS Adaptive Structures Conference 7t, Austin, Texas, Apr. 18-21, 2005.
S.T.Monteiro1, K.Uto, Y.Kosugi1, N. Kobayashi, E.Watanabe and K. Kameyama,
S.T.Monteiro1, K.Uto, Y.Kosugi1, N. Kobayashi, E.Watanabe and K. Kameyama, "Feature Extraction of Hyperspectral Data for under Spilled Blood Visualization Using Particle Swarm Optimization" BEM & NFSI Conference Proceedings Minneapolis, MN • May 12-15, 2005.
Shouyi Lia, Jihua Zhaoa,b, Yaolong Chena, Jusheng Yanga.,"Optimization research for ash dam cross section", Institute of Water Conservancy and Hydroelectric Power, J., Vol. 21, 18 June 2004.
T.R.Machado and H.S.Lopes, "A Hybrid Particle Swarm Optimization Model for the Traveling Salesman Problem" in: B.Ribeiro et al., Adaptive and Natural Computing Algorithms. Wien: SpringerWienNewYork, pp.255-258, 2005.
V.G. Gudise and G.K.