节点文献

基于改进遗传算法的生态复合墙体优化设计方法研究

Optimum design of ecological composite wall based on modified Genetic Algorithm

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 侯莉娜黄炜田英侠张荫徐秦

【Author】 Hou Lina1,2 Huang Wei1 Tian Yingxia1,2 Zhang Yin1 Xu Qin1(1.Xi’an University Technology,Xi’an 710055,China;2.Xi’an Technological University,Xi’an 710032,China)

【机构】 西安建筑科技大学西安工业大学

【摘要】 生态复合墙体是生态复合墙结构体系的主要受力构件,在满足生态复合墙结构设计规程的要求下,对生态复合墙体进行最小造价优化设计是生态复合墙结构设计理论的重要组成部分。针对生态复合墙体,进行基于遗传算法的生态复合墙体优化设计方法研究:根据生态复合墙体构造及受力特点,建立墙体造价最小优化设计数学模型;提出基于遗传算法的生态复合墙体优化设计实现程序,并对不同尺寸及填充材料的墙体进行实例分析。理论分析与计算结果表明:将遗传算法用于生态复合墙体的优化设计中,方法合理、可行,具有一定的工程实用意义,为生态复合墙体结构的优化设计方法开辟了新思路。

【Abstract】 Ecological composite wall is the main bearing member and lateral resistant system of ecological composite wall structure.It is important to find the reasonable designs of the ecological composite wall having lowest cost and satisfying the limitations and specifications of the code for ecological composite wall structure.The aim of this research is to design the minimum-cost ecological composite wall by the method of Genetic Algorithm.The optimum model is put forward,and a computer program based on Genetic Algorithm is also developed for determining the optimum values for the minimum-cost design of the ecological composite wall.Finally,a design example is presented demonstrating the efficiency of the procedure for the wall.Theoretical analysis and calculated results show that applying Genetic Algorithm to the cost optimization of the ecological composite wall with different geometric specifications and filler material is effective,practicable,and very meaningful to the practical engineering.At the same time,it opens up a new way for the optimization design of the ecological composite wall structure.

【基金】 国家自然科学基金(50908188、50878021);国家“十一五”科技支撑项目(2006BAJ04A05-5、2008BAJ08B011-03);陕西省“13115”科技创新工程计划(2008ZDKG-76);陕西省教育厅自然科学专项基金(09JK523、2010JK622);陕西省重点学科建设专项资金(E01001、E01003)
  • 【文献出处】 土木工程学报 ,China Civil Engineering Journal , 编辑部邮箱 ,2010年S2期
  • 【分类号】TU227;TP18
  • 【被引频次】5
  • 【下载频次】280
节点文献中: 

本文链接的文献网络图示:

本文的引文网络