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超静定梁抗弯刚度优化设计的模拟退火算法
引用本文:李清禄,张会荣.超静定梁抗弯刚度优化设计的模拟退火算法[J].曲靖师范学院学报,2007,26(3):44-47.
作者姓名:李清禄  张会荣
作者单位:1. 兰州理工大学,理学院,甘肃,兰州,730050
2. 曲靖师范学院,物理系,云南,曲靖,655011
基金项目:兰州理工大学校科研和教改项目
摘    要:在分析了传统优化方法不足的基础上,提出了一种基于神经网络模拟退火优化的新方法.用阶梯折算法,给出了目标函数、几何约束条件关于设计变量的显式表达式,对集中载荷作用下一次等强度超静定梁进行了最优刚度分布研究.

关 键 词:神经网络  模拟退火法  超静定梁  结构优化
文章编号:1009-8879(2007)03-0044-04
修稿时间:2007-04-16

The Flexural Rigidity Optimal Design of Static - Indeterminant Beams Using Simulated Annealing Algorithm
Li Qinglu,Zhang Huirong.The Flexural Rigidity Optimal Design of Static - Indeterminant Beams Using Simulated Annealing Algorithm[J].Journal of Qujing Normal College,2007,26(3):44-47.
Authors:Li Qinglu  Zhang Huirong
Institution:1. School of Science, Lanzhou University of Technology, Lanzhou Gansu 730050; 2. Department of Physics, Qujing Normal University, Qujing Yunnan 655011, China
Abstract:Based on the analysis of disadvantages of traditional design method,a new optimization method based on neural network is proposed.Making use of the stepped reduction method by Yah.the flexural rigidity optimal distribution of the equi-strength static-indeterminant beam under a concentrated force is studied in this paper.The governing equation can be explicitly expressed by the design variable as well as geometry constraint.
Keywords:neural network  simulated annealing algorithm  static-indeterminant beam  optimization design
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