Determination of Optimal position of cables in Guyed masts by using meta-heuristic algorithms

مهندسی عمران فردوسی

Article 6, Volume 37, Issue 3 - Serial Number 47, September 2024, Pages 93-107   

Document Type: Original Article

DOI: 10.22067/jfcei.2024.75849.1131

Authors

Amirreza Esmaeili aghdam¹; Houshyar Eimani Kalehsar^{* 2}

¹Engineering, Faculty of Engineering, Department of Civil Engineering, University of Mohaghegh Ardabili, Ardabil, Iran

²Faculty of Engineering, Department of Civil Engineering, University of Mohaghegh Ardabili, Ardabil, Iran

Abstract

Guyed masts are slender, tall structures widely used to support various types of antennas in the field of telecommunications. These structures consist of a tall vertical mast laterally supported at several levels along its height by sets of inclined pre-tensioned cables. It is well known that natural frequencies are fundamental parameters that affect the dynamic behavior of structures. Optimizing natural frequencies of Guyed masts is an important issue in structural engineering. The main objective of this study presented in this paper is to obtain a design that will maximize the frequency of the Guyed masts. Meta-heuristic algorithms are applied in optimization problems in a variety of fields, including engineering, economics, and computer science. In this paper, three population-based meta-heuristic algorithms are employed for frequency optimization of Guyed masts. These algorithms consist of the Genetic Algorithm (GA), Firefly Algorithm (FA) and Particle Swarm Optimization Algorithm (PSO) aims to maximize the natural frequencies of Guyed masts while satisfying their constraints. The study on optimizing the position of the cable anchorages along the pole of a guyed tower using algorithms demonstrates that the optimal values for these angles are approximately 35 degrees without pretension forces in the guys. Additionally, the optimum cable angle is 75 degrees when subjected to prestressed guy cables.

Keywords

Guyed mast; genetic algorithm; Firefly Algorithm; Particle Swarm Algorithm; optimization

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