Abstract
One of the challenging problems in the field of structural engineering is designing cost-efficient structures with improved performance subject to earthquake loading conditions. Structural optimization procedures can be effectively employed for performance-based optimal design of structures. In this study, bat algorithm (BA) is utilized to implement performance-based optimum seismic design of steel dual braced frames for various performance levels. The required structural seismic responses are evaluated by performing nonlinear pushover analysis. The results found by BA are then compared with those of obtained by other popular meta-heuristics such as firefly algorithm (FA) and particle swarm optimization (PSO) to provide an insight about its computational performance. Two numerical examples are presented and the numerical results reveal that the BA outperforms PSO and FA.
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Gholizadeh, S., Poorhoseini, H. (2016). Performance-Based Optimum Seismic Design of Steel Dual Braced Frames by Bat Algorithm. In: Yang, XS., Bekdaş, G., Nigdeli, S. (eds) Metaheuristics and Optimization in Civil Engineering. Modeling and Optimization in Science and Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-26245-1_5
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DOI: https://doi.org/10.1007/978-3-319-26245-1_5
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