期刊文献+

高层剪力墙建筑结构的多目标优化

Multi-objective optimization for high-rise shear wall building
下载PDF
导出
摘要 在高层剪力墙建筑结构设计中,随着结构构件种类和数量的增多,结构的传力路径变得越发复杂,结构设计工作中仅凭设计人员的经验通常难以获得最优方案。基于优化分析软件Isight和通用有限元软件Abaqus,通过二次开发编写脚本程序,搭建了完整的高层剪力墙建筑结构多目标优化流程,并对一工程实例进行了优化计算,为实现节约项目成本提供了可行可靠的途径。 In designing high-rise shear wall building,achieving Pareto optimization is impossible by experience of engineers due to the variety of structural elements and the complexity of force transfer.This paper has set up optimization procedures for high-rise shear wall building and implemented refining optimization for an engineering project.The optimization is based on Isight and Abaqus which is developed by Python.This paper gives a feasible and reliable method for saving cost.
作者 李双龙 梁晓东 胡守营 王传甲 Li Shuanglong;Liang Xiaodong;Hu Shouying;Wang Chuanjia(A+E Design Co.,Ltd.,Shenzhen 518031,China)
出处 《山西建筑》 2019年第4期42-43,共2页 Shanxi Architecture
关键词 多目标优化 高层住宅 剪力墙结构 ISIGHT ABAQUS multi-objective optimization high-rise building shear wall structure Isight Abaqus
  • 相关文献

参考文献1

二级参考文献10

  • 1张利彪,周春光,马铭,刘小华.基于粒子群算法求解多目标优化问题[J].计算机研究与发展,2004,41(7):1286-1291. 被引量:223
  • 2盛跃宾,陈定昌,穆森,任强,张朝阳.有等式约束优化问题的粒子群优化算法[J].计算机工程与设计,2006,27(13):2412-2413. 被引量:19
  • 3曾文飞,颜玲,王志兵.经费分配中基于多目标优化的遗传规划模型[J].计算机工程与设计,2007,28(7):1620-1623. 被引量:3
  • 4Coello Coello C A.A Comprehensive survey of evolutionarybased multiobjective optimization techniques[J].Knowledge and Information Systems, 1999,1 (3):269-308.
  • 5Abbass H A,Sarker R,Newton C.PDE: A pareto-frontier differential evolution approach for multi-objective optimization problems[C].Proceedings of the Congress on Evolutionary Computer (CEC'2001 ).Piscataway, New Jersey:IEEE Service Center,2001 : 971-978.
  • 6Parsopoulos K E,Vrahatis M N.Recent approaches to global optimization problems through particle swarm optimization [J]. Natural Comprfing,2002,1 (2-3):235-306.
  • 7Parsonpoulos K E, Vrahatis M N. Particle swarm optimization method in multiobjective problems [C]. Madrid, Spain: Proc ACM Symp on Applied Computing,2002:603-607.
  • 8Hu X,Eberhart R C.Multiobjective using dynamic neighborhood particle swarm optimization [C]. Honolulu, Hawaii, USA: Proc Congress Evolutionary Compution,2002:1677-1681.
  • 9Hu X,Eberhart R C,Shi Y.Particle swarm with extended memory for multiobjective particle swarm optimization [C]. USA: Proc IEEE Swarm Intelligence Symp, Indianapolies,2003:193-197.
  • 10Deb K,Pratap A,Agarwal S,et al.A fast and elitist multiobjective genetic algorithm:NSGA-Ⅱ[J].Trans on Evolutionary Computation,2002,6(2): 182-193.

共引文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部