基于遗传算法的密肋复合墙体多目标优化设计方法研究
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
密肋复合墙体是密肋壁板结构体系的主要受力构件,墙体的优化设计方法研究是结构体系设计理论的重要组成部分。在前期研究的基础上,建立综合考虑密肋复合墙体安全性(墙体斜截面抗剪承载力)与经济性(墙体造价)的多目标优化设计数学模型,并采用遗传算法进行优化计算,最后给出了计算算例。理论分析与计算结果表明:将多目标优化设计方法用于密肋复合墙体的优化设计中,可使各个分目标都较为满意,兼顾了墙体安全性与经济性两方面的要求;方法合理、可行,对密肋复合墙体的设计有一定参考意义。
Multi-ribbed composite wall is the main load-bearing member in the multi-ribbed slab structure(MRSS).The study on the optimization design method of the wall is an important part of the design theory for the structural system.It is discussed the multi-objective optimization design method of the multiribbed composite wall.The multi-objective optimization design mathematical model which takes both the security(shear resistance of the wall) and economy(cost of the wall) into consideration is established.Then the genetic algorithm(GA) is employed to solve the proposed model.At the same time,a case of optimization design is given.Theoretical analysis and calculated results show that applying the multi-objective optimization design method to the optimization design of the multi-ribbed composite wall can make every objective satisfactory and give consideration to both the security and economy of the wall,and this method was found to be reasonable,practicable and have some meaning to the practical engineering.
引文
[1]姚谦峰,黄炜,田杰,等.密肋复合墙体受力机理及抗震性能试验研究[J].建筑结构学报,2004(6):67-74.
    [2]Yuan Quan,Yao Qianfeng,Jia Yingjie.Study on Hysteretic Model andDamage Model of Multi-ribbed Composite Wall[J].ENVIRONMENTAL ECOLOGY AND TECHNOLOGY OFCONCRETE,2005(10):644-650.
    [3]黄炜,侯莉娜.密肋复合墙体多目标优化设计方法研究[J].西安建筑科技大学学报,2007,37(1):29-34.
    [4]陈国良.遗传算法及应用[M].北京:人民邮电出版社,1996:28-92.
    [5]Carroll DL.Genetic algorithms and optimizing chemical oxygen-iodinelasers[J].Developments in Theoretical and Applied Mechanics,1996:411-424.
    [6]Coello C A,Christiansen AD.Multi-objective Optimization of TrussesUsing Genetic Algorithms[J].Computers&Structures 2000(75):647-660.
    [7]许进军,史进.空间桁架多目标优化方法的比较研究[J].工业建筑,2006,36(增刊):372-380.
    [8]王兴国,周晶,田明俊,等.导管架海洋平台基于地震作用下的多目标优化设计[J].土木工程学报,2004,37(12):6-9.

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心