Comparison of four meta-heuristic algorithms for optimal design of double-layer barrel vaults. Issue 3 (September 2018)

• Record Type: Journal Article
• Authors: Kaveh, Ali; Ilchi Ghazaan, Majid; Mahjoubi, Soroush
• Is Part Of: International journal of space structures. Volume 33:Issue 3/4(2018)
• Page Start: 115
• Page End: 123
• Publication Date: 2018-09
• Subjects: Optimal design -- double-layer barrel vaults -- meta-heuristic algorithms -- hybrid algorithm -- colliding bodies optimization -- enhanced colliding bodies optimization -- vibrating particles system; Space frame structures -- Periodicals; Space (Architecture) -- Periodicals; Space (Architecture); Space frame structures; Periodicals; 624.177
• DOI: 10.1177/0266351118803019
• Languages: English
• ISSNs: 0956-0599

Abstract

Barrel vaults are effective semi-cylindrical forms of roof systems that are widespread for multipurpose facilities including warehouse, rail station, pools, sports center, airplane hungers, and community centers because of providing long-span and economical roof with significant amount of space underneath. In the present study, size optimization of double-layer barrel vaults with different configurations is studied. Four recently developed algorithms consisting of the CBO, ECBO, VPS, and MDVC-UVPS are employed and their performances are compared. The structures are subjected to stress, stability, and displacement limitations according to the provisions of AISC-ASD. The design variables are the cross-sectional areas of the bar elements which are selected from steel pipe sections. The numerical results indicate that the MDVC-UVPS outperforms the other algorithms in finding optimal design in all examples.