Improvements in meta-heuristic algorithms for minimum cost design of reinforced concrete rectangular sections under compression and biaxial bending
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Ingeniería de la ConstrucciónPublication date
2017-01Publisher
ElsevierBibliographic Citation
Sánchez-Olivares, Gregorio & Tomas, Antonio. (2017). Improvements in meta-heuristic algorithms for minimum cost design of reinforced concrete rectangular sections under compression and biaxial bending. Engineering Structures. 130. 162-179. 10.1016/j.engstruct.2016.10.010.Keywords
OptimizationMeta-heuristic algorithms
Reinforced concrete structures
Cross section dimensioning
Biaxial bending
Abstract
A numerical procedure is proposed in this paper for achieving the minimum cost design of reinforced concrete rectangular sections under compression and biaxial bending by using biologically-inspired meta-heuristic optimization algorithms. The problem formulation includes the costs of concrete, reinforcement and formwork, obtaining the detailed optimum design in which the section dimensions and the reinforcement correspond to values used in practice. The formulation has been simplified in order to reduce the computational cost while ensuring the rigor necessary to achieve safe designs. The numerical procedure includes the possibility of using high-strength concrete and several design constraints, such as mínimum reinforcement and limiting the neutral axis depth. Two numerical examples are presented, drawing comparisons between the results obtained by ACI318 and EC2 standards.
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