Volume 12, Issue 4 (8-2022)
IJOCE 2022, 12(4): 595-608 |
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Hosseini P, Kaveh A, Hoseini Vaez S R. ROBUST DESIGN OPTIMIZATION OF SPACE TRUSS STRUCTURES. IJOCE 2022; 12 (4) :595-608
URL: http://ijoce.iust.ac.ir/article-1-536-en.html
URL: http://ijoce.iust.ac.ir/article-1-536-en.html
1- Faculty of Engineering, Mahallat Institute of Higher Education, Mahallat, Iran
2- School of Civil Engineering, Iran University of Science and Technology, Tehran-16, Iran
3- Department of Civil Engineering, Faculty of Engineering, University of Qom, Qom, Iran
2- School of Civil Engineering, Iran University of Science and Technology, Tehran-16, Iran
3- Department of Civil Engineering, Faculty of Engineering, University of Qom, Qom, Iran
Abstract: (11732 Views)
The existence of uncertainties in engineering problems makes it essential to consider these effects at all times. Robust design optimization allows a design to be made less sensitive to uncertain input parameters. Actually, robust design optimization reduces the sensitivity of the objective function and the variations in design performance when uncertainty exists. In this study, two space trusses were optimized based on the modulus of elasticity, yield stress, and cross-sectional uncertainties in order to increase the response robustness and decrease the weight. The displacement of one node has been used as the criterion for Robust Design Optimization (RDO) of these two structures. Two trusses with 72 members and 582 members are considered, which are famous trusses in the field of structural optimization. Also, the EVPS meta-heuristic algorithm was employed which is an enhanced version of the VPS algorithm based on the single degrees of freedom of a system with viscous damping.
Keywords: robustness index, enhanced vibrating particles system algorithm, size optimization, truss structures, robustness design optimization.
Type of Study: Research |
Subject:
Optimal design
Received: 2022/09/7 | Accepted: 2022/08/19 | Published: 2022/08/19
Received: 2022/09/7 | Accepted: 2022/08/19 | Published: 2022/08/19
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