Optimal load and resistance factor design of geometrically nonlinear steel space frames via tabu search and genetic algorithm

Date

2008-01-01

Author

DEĞERTEKİN, SADIK ÖZGÜR
Saka, M. P.
HAYALİOĞLU, MEHMET SEDAT

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In this paper, algorithms are presented for the optimum design of geometrically nonlinear steel space frames using tabu search and genetic algorithm. Tabu search utilizes the features of short-term memory facility (tabu list) and aspiration criteria. Genetic algorithm employs reproduction, crossover and mutation operators. The design algorithms obtain minimum weight frames by selecting suitable sections from a standard set of steel sections such as American Institute of Steel Construction (AISC) wide-flange (W) shapes. Stress constraints of AISC Load and Resistance Factor Design (LRFD) specification, maximum drift (lateral displacement) and interstorey drift constraints, size constraints for columns were imposed on frames. The algorithms were applied to the optimum design of three space frame structures. The designs obtained using tabu search were compared to those where genetic algorithm was considered. The comparisons showed that the former algorithm resulted in lighter structures.

Subject Keywords

Civil and Structural Engineering

URI

https://hdl.handle.net/11511/66871

Journal

ENGINEERING STRUCTURES

DOI

https://doi.org/10.1016/j.engstruct.2007.03.014

Collections

Department of Engineering Sciences, Article

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Citation Formats

S. Ö. DEĞERTEKİN, M. P. Saka, and M. S. HAYALİOĞLU, “Optimal load and resistance factor design of geometrically nonlinear steel space frames via tabu search and genetic algorithm,” ENGINEERING STRUCTURES, pp. 197–205, 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/66871.