Enhancing transmission type frame structures: A BBO algorithm-based integrated design approach

• Published in: PloS one Vol. 19; no. 5; p. e0300961
• Main Authors: Yang, Jian, Yang, Zhiyong, Wang, Yuhao
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 17.05.2024; Public Library of Science (PLoS)
• Subjects: Algorithms; Analysis; Biogeography; Computer and Information Sciences; Design; Design optimization; Earth Sciences; Electric power transmission; Engineering and Technology; Finite Element Analysis; Finite element method; Frame structures; Optimization algorithms; Physical Sciences; Reinforced concrete; Research and Analysis Methods; Roads & highways; Seismic engineering; Stability; Stiffness; Topology; Topology optimization; Transmission lines; Trussed structures
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0300961

The stable and site-specific operation of transmission lines is a crucial safeguard for grid functionality. This study introduces a comprehensive optimization design method for transmission line crossing frame structures based on the Biogeography-Based Optimization (BBO) algorithm, which integrates size, shape, and topology optimization. By utilizing the BBO algorithm to optimize the truss structure’s design variables, the method ensures the structure’s economic and practical viability while enhancing its performance. The optimization process is validated through finite element analysis, confirming the optimized structure’s compliance with strength, stiffness, and stability requirements. The results demonstrate that the integrated design of size, shape, and topology optimization, as opposed to individual optimizations of size or shape and topology, yields the lightest structure mass and a maximum stress of 151.4 MPa under construction conditions. These findings also satisfy the criteria for strength, stiffness, and stability, verifying the method’s feasibility, effectiveness, and practicality. This approach surpasses traditional optimization methods, offering a more effective solution for complex structural optimization challenges, thereby enhancing the sustainable utilization of structures.