Structural topology optimization of braced steel frameworks using genetic programming

被引：0
|
作者：
Baldock, Robert [1 ]
Shea, Kristina
机构：
[1] Univ Cambridge, Engn Design Ctr, Cambridge CB2 1PZ, England
[2] Tech Univ Munich, D-85748 Garching, Germany
来源：
INTELLIGENT COMPUTING IN ENGINEERING AND ARCHITECTURE | 2006年 / 4200卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a genetic programming method for the topological optimization of bracing systems for steel frameworks. The method aims to create novel, but practical, optimally-directed design solutions, the derivation of which can be readily understood. Designs are represented as trees with one-bay, one-story cellular bracing units, operated on by design modification functions. Genetic operators (reproduction, crossover, mutation) are applied to trees in the development of subsequent populations. The bracing design for a three-bay, 12-story steel framework provides a preliminary test problem, giving promising initial results that reduce the structural mass of the bracing in comparison to previous published benchmarks for a displacement constraint based on design codes. Further method development and investigations are discussed.
引用
收藏
页码：54 / 61
页数：8
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