Metaheuristic approaches for optimum design of cantilever reinforced concrete retaining walls
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An approach is presented for optimum design of cantilever reinforced concrete (RC) retaining wall via teaching-learning based optimization (TLBO) algorithm. The objective function of the optimization is to minimize total material cost including concrete and reinforcing steel bars of the cantilever retaining wall by considering overturning, sliding and bearing stabilities, bending moment and shear capacities and requirements for design and construction of reinforced concrete structures (TS 500/2000). TLBO algorithm is a simple algorithm without any special algorithm parameters. This innovative approach is providing an advantage to TLBO in terms of easily applying to the problem. The proposed method has been performed on numerical examples and the results are compared with previous approaches. Results show that, the methodology is feasible for obtaining the optimum design of RC cantilever retaining walls.
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Ahmadi-Nedushan B, Varaee H (2009). Optimal design of reinforced concrete retaining walls using a swarm ıntelligence technique. In The first International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, UK.
Ahmadkhanlou F, Adeli H (2005). Optimum cost design of reinforced concrete slabs using neural dynamics model. Engineering Applications of Artificial Intelligence, 18(1), 65-72.
Akin A, Saka MP (2010). Optimum detailed design of reinforced concrete continuous beams using the harmony search algorithm, In: Topping BHV, Adam JM, Pallarés FJ, Bru R, Romero ML, eds. Proceedings of the Tenth International Conference on Computational Structures Technology, Paper 131, Civil-Comp Press, Stirlingshire, UK.
Akin A, Saka MP (2012). Optimum detailing design of reinforced concrete plane frames to ACI 318-05 using the harmony search algorithm. In: Topping BHV, ed. Proceedings of the Eleventh International Conference on Computational Structures Technology, Paper 72, Civil-Comp Press, Stirlingshire, UK.
Balling R, Yao X (1997). Optimization of reinforced concrete frames. Journal of Structural Engineering-ASCE, 123, 193-202
Barros MHFM, Martins RAF, Barros AFM (2005). Cost optimization of singly and doubly reinforced concrete beams with EC2-2001. Structural and Multidisciplinary Optimization, 30, 236-242.
Barros AFM, Barros MHFM, Ferreira CC (2012). Optimal design of rectangular RC sections for ultimate bending strength. Structural and Multidisciplinary Optimization, 45, 845-860.
Bekdaş G, Nigdeli SM (2012). Cost optimization of T-shaped reinforced concrete beams under flexural effect according to ACI 318. 3rd European Conference of Civil Engineering, December 2-4, Paris, France.
Bekdaş G, Nigdeli SM (2016). Bat algorithm for optimization of reinforced concrete columns. Joint Annual Meeting of GAMM and DMV, March 7-11, Braunschweig, Germany.
Bekdaş G, Nigdeli SM (2014). Optimization of slender reinforced concrete columns. 85th Annual Meeting of the International Association of Applied Mathematics and Mechanics, March 10-14, Erlangen, Germany.
Camp CV, Pezeshk S, Hansson H (2003). Flexural design of reinforced concrete frames using a genetic algorithm. Journal of Structural Engineering-ASCE, 129, 105-11.
Camp CV, Akin A (2012). Design of retaining walls using big bang–big crunch optimization. Journal of Structural Engineering-ASCE, 138(3), 438-448.
Camp CV, Huq F (2013). CO2 and cost optimization of reinforced concrete frames using a big bang-big crunch algorithm. Engineering Structures, 48, 363-372.
Ceranic B, Freyer C, Baines RW (2001). An application of simulated annealing to the optimum design reinforced concrete retaining structure. Computers Structures, 79(17), 1569-1581.
Coello CC, Hernandez FS, Farrera FA (1997). Optimal design of reinforced concrete beams using genetic algorithms. Expert Systems with Applications, 12, 101-108.
Coello CC, Christiansen AD, Hernández FS (1997). A simple genetic algorithm for the design of reinforced concrete beams. Engineering with Computers, 13(4), 185-196.
Fedghouche F, Tiliouine B (2012). Minimum cost design of reinforced concrete T-beams at ultimate loads using Eurocode2. Engineering Structures, 42, 43-50.
Ferreira CC, Barros MHFM, Barros AFM (2003). Optimal design of reinforced concrete T-sections in bending. Engineering Structures, 25(7), 951-964.
Gil-Martin LM, Hernandez-Montes E, Aschheim M (2010). Optimal reinforcement of RC columns for biaxial bending. Materials and Structures, 43, 1245-1256.
Govindaraj V, Ramasamy JV (2005). Optimum detailed design of reinforced concrete continuous beams using genetic algorithms. Computers and Structures, 84, 34-48.
Govindaraj V, Ramasamy JV (2007). Optimum detailed design of reinforced concrete frames using genetic algorithms. Engineering Optimization, 39(4), 471-494.
Guerra A, Kiousis PD (2006). Design optimization of reinforced concrete structures. Computers and Concrete, 3, 313–334.
Kaveh A, Abadi ASM (2011). Harmony search based algorithms for the optimum cost design of reinforced concrete cantilever retaining walls. International Journal of Civil Engineering, 9(1), 1-8.
Kaveh A, Sabzi O (2012). Optimal design of reinforced concrete frames using big bang-big crunch algorithm. International Journal of Civil Engineering, 10(3), 189-200.
Lee C, Ahn J (2003). Flexural design of reinforced concrete frames by genetic algorithm. Journal of Structural Engineering-ASCE, 129(6), 762-774.
Nigdeli SM, Bekdaş G, Kim S, Geem ZW (2015). A Novel Harmony Search Based Optimization of reinforced concrete biaxially loaded columns. Structural Engineering and Mechanics, 54(6), 1097-1109
Paya I, Yepes V, Gonzalez-Vidosa F, Hospitaler A (2008). Multi objective optimization of concrete frames by simulated annealing. Computer-Aided Civil and Infrastructure Engineering, 23, 596-610.
Paya-Zaforteza I, Yepes V, Hospitaler A, Gonzalez-Vidosa F (2009). CO2-optimization of reinforced concrete frames by simulated annealing. Engineering Structures, 31, 1501-1508.
Perea C, Alcala J, Yepes V, Gonzalez-Vidosa F, Hospitaler A (2008). Design of reinforced concrete bridge frames by heuristic optimization. Advances in Engineering Software, 39, 676-688.
Rafiq MY, Southcombe C (1998). Genetic algorithms in optimal design and detailing of reinforced concrete biaxial columns supported by a declarative approach for capacity checking. Computers and Structures, 69, 443-457.
Rajeev S, Krishnamoorthy CS (1998). Genetic algorithm–based methodology for design optimization of reinforced concrete frames. Computer-Aided Civil and Infrastructure Engineering, 13, 63-74.
Rama Mohan Rao AR, Shyju PP (2010). A meta-heuristic algorithm for multi-objective optimal design of Hybrid Laminate Composite Structures. Computer-Aided Civil and Infrastructure Engineering, 25(3), 149-170.
Rao RV, Savsani VJ, Vakharia DP (2011). Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems. Computer-Aided Design, 43(3), 303-315.
Saribas A, Erbatur F (1996). Optimization and sensitivity of retaining structures. Journal of Geotechnical Engineering, 122(8), 649-656.
Sirca Jr G, Adeli H (2005). Cost optimization of prestressed concrete bridges. Journal of Structural Engineering-ASCE, 131(3), 380-388.
Temur R, Bekdas G (2016). Teaching learning-based optimization for design of cantilever retaining walls. Structural Engineering and Mechanics, 57(4), 763-783.
Yepes V, Alcala J, Perea C, Gonzalez-Vidosa F (2008). A parametric study of optimum earth-retaining walls by simulated annealing. Engineering Structures, 30, 821-830.
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Peer-review under responsibility of the organizing committee of ACE2016.
