Abstract
In this paper a new automated approach is presented for optimal design of prestressed concrete slabs. To achieve this goal, the model of a slab is formed using SAP2000, and it is linked to a meta-heuristic code. This code utilizes the result of analyzed models in each iteration to provide new design parameters of the slab for the subsequent one. Canadian Standard Association requirements are met thoroughly to reach a safe code-based design. A recently enhanced version of Particle Swarm Optimization (PSO), so-called PSOHS, is employed, and it is shown that the latter is superior to the standard PSO. Results prove the efficiency of the PSOHS, indicating the possibility of its application in professional engineering. Furthermore, the comparison of the PSO and PSOHS shows that PSOHS is less parameter sensitive, and provides final designs with smaller cost functions.
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Talaei, A.S., Nasrollahi, A. & Ghayekhloo, M. An automated approach for optimal design of prestressed concrete slabs using PSOHS. KSCE J Civ Eng 21, 782–791 (2017). https://doi.org/10.1007/s12205-016-1126-9
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DOI: https://doi.org/10.1007/s12205-016-1126-9