Structural optimization of transmission towers using a novel Genetic Algorithm approach with a variable length genome

被引：25

作者：

Khodzhaiev, Marat ^{[1
]}

Reuter, Uwe ^{[1
]}

机构：

[1] Tech Univ Dresden, Fac Civil Engn, D-01062 Dresden, Germany

来源：

ENGINEERING STRUCTURES | 2021年 / 240卷

关键词：

Structural optimization; Topology optimization; Shape optimization; Size optimization; Transmission towers; Steel lattice towers; Genetic Algorithm; Variable length genome; TOPOLOGY OPTIMIZATION; OPTIMAL-DESIGN; SHAPE; TRUSSES;

D O I：

10.1016/j.engstruct.2021.112306

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

This paper presents an approach to topology, shape, and size optimization of transmission towers. The key feature of the presented approach is the independent variation of the number and heights of tower panels. For that purpose, a modified version of a Genetic Algorithm with a variable length genome is utilized. A novel method of two-stage mutation is developed for handling a variable length genome. Structural optimization of a 110 kV transmission tower is performed as a demonstration with the key result of 10% cost reduction.

引用

页数：13

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