Design of transmission line towers by metaheuristic algorithms: A comparative study

IF 4 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Journal of Constructional Steel Research Pub Date : 2025-02-21 DOI:10.1016/j.jcsr.2025.109426

Marcos Wilson Ogata , Herbert Martins Gomes , Felipe Schaedler de Almeida

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引用次数: 0

Abstract

Latticed towers are essential components of high-voltage transmission lines. Saving resources in their construction is crucial for economic and environmental efficiency, but the safety of these structures under severe loads is of major importance for the reliability of the power distribution system. This work explores optimization techniques to improve the structural design of transmission line towers according to international code specifications and considering loads due to construction, wind, and cable rupture. A self-supporting tower with 52 m high and 1721 members is designed using the proposed methodology, showing that the computational tool obtains competitive solutions. Four metaheuristic algorithms are applied to solve the problem and compared in terms of efficiency and computational cost in extensive tests with more than 1080 independent optimizations with different parameter settings. The Generalized Normal Distribution Optimization greatly outperformed the other methods, raising as a good alternative for the optimization-aided structural design.

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来源期刊

Journal of Constructional Steel Research 工程技术-工程：土木

CiteScore

7.90

自引率

19.50%

发文量

550

审稿时长

46 days

期刊介绍： The Journal of Constructional Steel Research provides an international forum for the presentation and discussion of the latest developments in structural steel research and their applications. It is aimed not only at researchers but also at those likely to be most affected by research results, i.e. designers and fabricators. Original papers of a high standard dealing with all aspects of steel research including theoretical and experimental research on elements, assemblages, connection and material properties are considered for publication.