Cross-Sectional Optimization of Reinforced Concrete Columns Considering both Economical and Environmental Costs

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This work presents the development and implementation of a mathematical formulation for obtaining optimal sections of reinforced concrete columns subjected to uniaxial flexural compression. In order to minimize the cost of the reinforced concrete columns, the amount and diameters of the reinforcement bars and the dimensions of the columns cross sections were considered as discrete variables. The optimization was made by Harmony Search optimization method, a metaheuristic inspired by music performance. Initially, the economical cost of each material (concrete, steel and formwork) were considered, as usual in most optimization strategies. In the sequence, the lesser environmental cost was studied, by considering the Life Cicle Assessment (LCA) to determine the global warming potential. The results obtained led to a different configuration when the objective is a reduction in carbon dioxide (CO2) emissions, regarding the optimum economical cost.

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1086-1089

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August 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] R. Bordignon, M. Kripka, Optimum Design of Reinforced Concrete Columns Subjected to Uniaxial Flexural Compression, Computers and Concrete, (2012), 9(5), 345-358.

DOI: 10.12989/cac.2012.9.5.327

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[2] Z.W. Geem, J.H. Kim, G.V.A. Loganathan, A New Heuristic Optimization Algorithm: Harmony Search, Simulation, (2001), 76(2), 60-68.

DOI: 10.1177/003754970107600201

Google Scholar

[3] Z.W. Geem, K.B. Sim, Parameter-setting-free Harmony Search Algorithm, Applied Mathematics and Computation, (2010), 217, 3881–3889.

DOI: 10.1016/j.amc.2010.09.049

Google Scholar

[4] W.P. Argolo, Optimal design of reinforced concrete section subjected to axial load and moment using Genetic Algorithms, (2000), Dissertation (Master in Engineering) – Federal University of Rio de Janeiro, Rio de Janeiro. (in Portuguese).

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[5] J. Ochsendorf et al. , Methods, Impacts, and Opportunities in the Concrete Building Life Cycle, Massachussets Institute of Technology ed., Research report R11-0!, Department of Civil and Environmental Engineering (2011).

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