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Civil-Comp Conferences
ISSN 2753-3239
CCC: 10
PROCEEDINGS OF THE EIGHTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING
Edited by: P. Iványi, J. Kruis and B.H.V. Topping
Paper 4.6

Design of Spatial Truss Structures Using the Circulatory System-Based Optimization

I.B. Ugur1 and S.O. Degertekin2

1Department of Civil Engineering, Şırnak University, Turkiye
2Department of Civil Engineering, Dicle University, Turkiye

Full Bibliographic Reference for this paper
I.B. Ugur, S.O. Degertekin, "Design of Spatial Truss Structures Using the Circulatory System-Based Optimization", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Eighteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 10, Paper 4.6, 2025,
Keywords: circulatory system-based optimization, truss optimization, optimum design, structural optimization, metaheuristics, spatial truss.

Abstract
Truss structures are widely employed in structural engineering due to their lightweight characteristics, aesthetic appeal, and high structural efficiency. This paper applies the Circulatory System-Based Optimization (CSBO) algorithm. This nature-inspired metaheuristic mimics the human circulatory system's mechanisms for nutrient distribution and waste removal, to the optimal design of a complex spatial truss structure. The selected benchmark problem consists of 198 members and 211 design variables, covering both sizing and shape optimization. The design process accounts for practical structural constraints, including stress, displacement, buckling, and slenderness ratio limitations, as outlined in AISC-LRFD provisions. CSBO is utilized to minimize the structural weight while ensuring full compliance with all design requirements. The results confirm that CSBO exhibits promising performance in terms of convergence stability, solution quality, and effective weight reduction for this challenging high-dimensional truss optimization problem.

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