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基于遗传算法的直埋供热弯管的优化设计

高晔明 王国伟 王飞

太原理工大学学报2011,Vol.42Issue(4):415-419,5.
太原理工大学学报2011,Vol.42Issue(4):415-419,5.

基于遗传算法的直埋供热弯管的优化设计

Optimum Design of Buried Heating Elbow based on Genetic Algorithm

高晔明 1王国伟 2王飞2

作者信息

  • 1. 太原钢铁(集团)设计院,太原030009
  • 2. 太原理工大学环境科学与工程学院,太原030024
  • 折叠

摘要

Abstract

The design process of elbow of the direct-burying heating pipeline is one kind of pilot calculation process, namely assigns parameters as radius of curvature and pipe wall thickness to carry on the stress checking calculation, until stress checking calculation is qualified. In this article the radius of curvature, pipe wall thickness and intensity condition were used as the constraints, and the lowest cost of elbow were used as the objective function, to conduct the optimization design of elbow. Through optimized computation of pipelines with different specifications below DN1000mm, the optimal radius of curvature and pipe wall thickness were obtained for thehorizontal elbow with two infinite long arms. The genetic algorithm can be used to carry out the optimum design for the elbow. The problems of misalignment restraint, can be dealt with by u-sing the SUMT to reach stably consistemt convergence and fast convergence rate. The application of the genetic algorithm to the engineering design computation of elbow of the direct-burying heating pipeline can realize optimized design no matter whether the elbow size is restricted by location. The arrangement flexibility and reliability of the elbow can be improved and the project investment can be reduced.

关键词

遗传算法/惩罚函数法/直埋供热/弯管/优化设计

Key words

genetic algorithm/SUMT/buried heating/elbow/optimum design

分类

建筑与水利

引用本文复制引用

高晔明,王国伟,王飞..基于遗传算法的直埋供热弯管的优化设计[J].太原理工大学学报,2011,42(4):415-419,5.

基金项目

山西省科技攻关基金资助项目(2007032069) (2007032069)

太原理工大学学报

OA北大核心CSTPCD

1007-9432

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