وکیلی، ا.، آقا مجیدی، ر.، و احمدی، م. ح. (۱۴۰۴). بررسی تأثیر ویژگیهای هندسی هسته بر الگوی جریان و میزان تراوش در سدهای خاکی. مهندسی منابع آب.
Reverences
Vakili, A., Aghamajidi, R., & Ahmadi, M. H. (2025). Investigating the effect of core geometric characteristics on flow patterns and seepage rates in earth dams. Mohandesi-ye Manabe Ab [in Persian]
Lam , Sameer.(2008). Multi-Objective Optimization in Computational Intelligence. New York ,Information Science Reference.
Braja M. Das.(2008).Advanced Soil Mechanics. Third edition, New York Taylor & Francis.
Mohammadi, M., Barani, G. A., Ghaderi, K., & Haghighatandish, S. (2013). Optimization of earth dams clay core dimensions using evolutionary algorithms. European Journal of Experimental Biology, 3(3), 350-361.
Mohammadi, M., Barani, G. A., & Qaderi, K. (2013). Using Simulated Annealing (SA), Evolutionary Algorithm To Determine Optimal Dimensions of Clay Core in Earth Dams. International Journal of Advanced Biological and Biomedical Research, 1(4), 382-397.
Giglou, A. N., & Zeraatparvar, A. (2012). Seepage estimation through earth dams. Journal of Basic and Applied Scientific Research, 2(8), 7861-7865.
Fakhari, A., & Ghanbari, A. (2013). Note: A simple method for calculating the seepage from earth dams with clay core. Journal of GeoEngineering, 8(1), 27-32.
Delvari, A., Kamanbedast, A., & Hasoni, H. (2012). Investigation of stability in earth dam using ansys, and geo–studio software.
Abhilasha ;Ashwini Suresh; Stability Analysis of an embankment dam.2014IJSRD
Arshad, I; Babar, M.M; Javed, N; Numerical Analysis of seepage and slope stability in an earthen dam by using Geo-Slope software. 2017 PSM
Mohammed Ehteram; Hojat Karami; Sayed-Farhad Mousavi; Ahmed El-Shafie; Zahra Amini ; Optimizing dam and reservoirs operation based model utilizing shark algorithm approach.2017 Elsevier
Yanlong Li; Jing Wang; and Zengguang Xu; Design optimization of a concrete face rock Fill dam by using genetic algorithm.2015Hindawi
Magdy M. Aboelela; Control of seepage through earth dams based on pervious foundation using toe drainage Systems.2016Scirp
U.S. Department of the Interior Bureau of Reclamation, Embankment Dams. Design Standards No. 13,2012
US Army Corps of Engineers, General design and construction considerations for earth and rock-fill dams. EM 1110-2-2300 ,2004
US Army Corps of Engineers, Slope stability. EM 1110-1902 ,2003
US Army Corps of Engineers, Seepage analysis and control for dams. EM 1110-2-1901,1993
Design Standards No. 13, Embankment Dams. Chapter 1 to 8,2011
Indian Standard, Code of practice for stability analysis of earth dams, 2002.
Deb, K., Agrawal, S., Pratap, A., & Meyarivan, T. (2000, September). A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In international conference on parallel problem solving from nature (pp. 849-858). Springer Berlin Heidelberg.
Coello, C. A. C., Pulido, G. T., & Lechuga, M. S. (2004). Handling multiple objectives with particle swarm optimization. IEEE Transactions on evolutionary computation, 8(3), 256-279.
Akbari, R., Hedayatzadeh, R., Ziarati, K., & Hassanizadeh, B. (2012). A multi-objective artificial bee colony algorithm. Swarm and Evolutionary Computation, 2, 39-52.
Rao, R., & Patel, V. (2014). A multi-objective improved teaching-learning based optimization algorithm for unconstrained and constrained optimization problems. International journal of industrial engineering computations, 5(1), 1-22.
Coello, C. C. (2006). Evolutionary multi-objective optimization: a historical view of the field. IEEE computational intelligence magazine, 1(1), 28-36
Doaa A. El-Molla , Seepage and slope stability analysis of earth dams with different drain types under surface and internal modes of clogging(2026). Science direct
