首页> 外文期刊>Computers & Structures >Optimization of steel structures using distributed simulated annealing algorithm on a cluster of personal computers
【24h】

Optimization of steel structures using distributed simulated annealing algorithm on a cluster of personal computers

机译:在个人计算机集群上使用分布式模拟退火算法优化钢结构

获取原文
获取原文并翻译 | 示例

摘要

This paper presents a distributed simulated annealing (SA) algorithm for optimal structural design of steel structures under stress, maximum displacement, and inter-story drift constraints. To effectively harness the distributed computing capabilities of a cluster of PCs, a two-phased SA algorithm consisting of simulated quenching (SQ) and SA is developed and used for development of the distributed algorithm. The distributed algorithm is based on two different levels of parallelism, design variable level for a distributed SQ algorithm and candidate design level for a distributed SA algorithm. The distributed SA algorithm is applied to the discrete minimum weight design of a verifying example and two steel braced frame structures. The results show that the distributed SA algorithm implemented on a network of PCs can reduce the computational requirement significantly, and yield more stable convergence histories.
机译:本文提出了一种分布式模拟退火(SA)算法,用于在应力,最大位移和层间漂移约束下优化钢结构的结构设计。为了有效利用PC集群的分布式计算功能,开发了一种由模拟淬火(SQ)和SA组成的两阶段SA算法,并将其用于分布式算法的开发。分布式算法基于两个不同的并行度,即分布式SQ算法的设计变量级别和分布式SA算法的候选设计级别。分布式SA算法应用于一个验证示例和两个钢支撑框架结构的离散最小重量设计。结果表明,在PC网络上实现的分布式SA算法可以显着降低计算需求,并产生更稳定的收敛历史。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号