Research Articles | Challenge Journal of Concrete Research Letters

Metaheuristic algorithms in optimum design of reinforced concrete beam by investigating strength of concrete

Serdar Ulusoy, Aylin Ece Kayabekir, Gebrail Bekdaş, Sinan Melih Nigdeli


DOI: https://doi.org/10.20528/cjcrl.2020.02.001

Abstract


The locations of structural members can be provided according to architectural projects in the design of reinforced concrete (RC) structures. The design of dimensions is the subject of civil engineering, and these designs are done according to the experience of the designer by considering the regulation suggestions, but these dimensions and the required reinforcement plan may not be optimum. For that reason, the dimensions and detailed reinforcement design of RC structures can be found by using optimization methods. To reach optimum results, metaheuristic algorithms can be used. In this study, several metaheuristic algorithms such as harmony search, bat algorithm and teaching learning-based optimization are used in the design of several RC beams for cost minimization. The optimum results are presented for different strength of concrete. The results show that using high strength material for high flexural moment capacity has lower cost than low stretch concrete since doubly reinforced design is not an optimum choice. The results prove that a definite metaheuristic algorithm cannot be proposed for the best optimum design of an engineering problem. According to the investigation of compressive strength of concrete, it can be said that a low strength material are optimum for low flexural moment, while a high strength material may be the optimum one by the increase of the flexural moment as expected.


Keywords


reinforced concrete; metaheuristic algorithms; optimum design; minimum cost; strength of concrete

Full Text:

PDF

References


ACI 318M-05 (2005). Building code requirements for structural concrete and commentary. American Concrete Institute.

Akin A, Saka MP (2010). Optimum Detailed Design of Reinforced Concrete Continuous Beams using the Harmony Search Algorithm, In: B.H.V. Topping, J.M. Adam, F.J. Pallarés, R. Bru, M.L. Romero, (Editors), Proceedings of the Tenth International Conference on Computational Structures Technology, Civil-Comp Press, Stirlingshire, UK, Paper 131.

Bekdaş G, Nigdeli SM (2013). Optimization of T-shaped RC flexural members for different compressive strengths of concrete. International Journal of Mechanics, 7, 109-119.

Bekdaş G, Nigdeli SM (2014a). Optimization of slender reinforced concrete columns. 85th Annual Meeting of the International Association of Applied Mathematics and Mechanics, 10-14 March 2014, Erlangen, Germany.

Bekdaş G, Nigdeli SM (2014b). Optimization of RC frame structures subjected to static loading. 11th World Congress on Computational Mechanics, 20-25 July 2014, Barcelona, Spain.

Bekdas G (2014). Optimum design of axially symmetric cylindrical reinforced concrete walls. Structural Engineering and Mechanics, 51(3), 361-375.

Bekdaş G (2015). Harmony Search algorithm approach for optimum design of post-tensioned axially symmetric cylindrical reinforced concrete walls. Journal of Optimization Theory and Applications, 164(1), 342-358.

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.

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.

Ceranic B, Freyer C, Baines RW (2001). An application of simulated annealing to the optimum design reinforced concrete retaining structure. Computers and Structures, 79, 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.

Ferreira CC, Barros MHFM, Barros AFM (2003). Optimal design of reinforced concrete T-sections in bending. Engineering Structures, 25, 951-964.

Geem ZW, Kim JH, Loganathan GV (2001). A new heuristic optimization algorithm: Harmony Search. Simulation, 76, 60-68.

Jahjouh MM, Arafa MH, Alqedra MA (2013). Artificial Bee Colony (ABC) algorithm in the design optimization of RC continuous beams. Structural and Multidisciplinary Optimization, 47(6), 963-979.

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.

Leps M, Sejnoha M (2003). New approach to optimization of reinforced concrete beams. Computers and Structures, 81, 1957-1966.

Nigdeli SM, Bekdaş G (2014a). Optimum design of RC columns according to effective length factor in buckling. The Twelfth International Conference on Computational Structures Technology, 2-5 September 2014, Naples, Italy.

Nigdeli SM, Bekdaş G (2014b). Optimization of reinforced concrete shear walls using Harmony Search. 11th International Congress on Advances in Civil Engineering, 21-25 October 2014, Istanbul, Turkey.

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.

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.

Paya I, Yepes V, Gonzalez-Vidosa F, Hospitaler A (2008). Multiobjective 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.

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.

Sahab MG, Ashour AF, Toropov VV (2005). Cost optimisation of reinforced concrete flat slab buildings. Engineering Structures, 27, 313-322.

Talatahari S, Sheikholeslami R, Shadfaran M, Pourbaba M (2012). Optimum design of gravity retaining walls using charged system search algorithm. Mathematical Problems in Engineering, 2012, 1-10.

Yang XS (2010). A new metaheuristic bat-inspired algorithm. In: Nature Inspired Cooperative Strategies for Optimization (NICSO 2010), Springer Berlin Heidelberg, 65-74.

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.


Refbacks

  • There are currently no refbacks.