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Shape Optimization of Truss Structures for Displacement Constraints Using a Modified Particle Swarm Optimization (MPSO) Algorithm | ||
| Civil Engineering and Applied Solutions | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 24 تیر 1404 | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22080/ceas.2025.29404.1017 | ||
| نویسندگان | ||
| Seyed Mohammad Seyedpour* ؛ Morteza Pendashteh | ||
| Department of Civil Engineering, Shomal University, Amol, Iran | ||
| تاریخ دریافت: 13 خرداد 1404، تاریخ بازنگری: 20 تیر 1404، تاریخ پذیرش: 23 تیر 1404 | ||
| چکیده | ||
| This paper presents a Modified Particle Swarm Optimization (MPSO) algorithm for the shape optimization of truss structures under displacement constraints. The proposed MPSO employs a multi-stage strategy, where the final solution of each stage is used to reinitialize the swarm in the next stage, improving convergence accuracy. A normal-based distribution is used for swarm regeneration, promoting effective exploration around the best solution found. Design variables are the nodal coordinates of the structures and the total weight is considered as the objective function. Design constraints include limitations on nodal displacements and some geometric constraints are also considered. The method is evaluated using four benchmark truss examples. Results show that MPSO reduces structural weight by 7% for 13-bar truss, 5.7% for 25-bar truss and 2.2% for 52-bar truss, compared to those reported in the literature, while also maintaining or improving displacement control. In the 37-bar planar truss, the algorithm marginally outperforms the existing result by reducing weight by 0.18%. These outcomes confirm that the proposed MPSO provides competitive or superior performance compared to reference methods in both efficiency and solution quality. | ||
| کلیدواژه‌ها | ||
| Shape Optimization؛ Truss Structures؛ Particle Swarm Optimization؛ Modified Particle Swarm Optimization | ||
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