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智能振动控制装置布局优化设计

Layout Optimization of Intelligent Control Equipment

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【作者】 张延年李艺董锦坤朱朝艳范鹤

【Author】 ZHANG Yan-nian~1,LI Yi~2,DONG Jin-Kun~3,ZHU Chao-yan~3,FAN He~2 (1.School of Civil Engineering,Shenyang Jianzhu University,Shenyang 110168,China;2.School of Resource & Civil Engineering,Northeastern University,Shenyang 110004,China;3.Department of Civil Engineering,Liaoning Institute of Technology,Jinzhou 121001,China)

【机构】 沈阳建筑大学土木工程学院东北大学资源与土木工程学院辽宁工学院土木建筑系东北大学资源与土木工程学院 辽宁沈阳110168辽宁沈阳110004辽宁锦州121001

【摘要】 目的为了提高智能振动控制结构的减振效果,以最少的控制装置数目、最佳的位置实现控制.方法建立MRD结构的动力分析模型,推导出结构运动微分方程;对标准遗传算法经常出现未成熟收敛、振荡、随机性太大和迭代过程缓慢等缺点进行改善,提出了改进混合遗传算法;建立智能控制装置布局优化设计模型,使用改进混合遗传算法对8层MRD结构的控制装置的布局进行优化设计.结果优化后,MRD结构的相对加速度、速度、位移、层间剪力均有很大程度的降低.结论改进混合遗传算法对智能控制装置布局优化的结果比较理想,智能控制结构的各项地震反应均得到了更好地控制.

【Abstract】 In order to improve the effect of shock absorption of intelligent vibration control structure,control objective was realized with the least control equipment and optimal layout.The dynamic analysis model for structure with MRD was set up,and kinetic differential function was presented accordingly.In view of the fact that the standard genetic algorithm(SGA) had such frequent shortcomings as premature convergence,oscillation and over-randomization in iterative process,a new genetic operator named transgenic operator had been developed for the purpose of improving SGA.Moreover,a unidirectional searching algorithm for structural optimization with discrete variables was proposed,and some problems were solved by means of unidirectional searching algorithm combined with GA.Thus,improved hybrid genetic algorithm(IHGA) was proposed.The optimal model for structure with MRD was set up.The layout of intelligent control equipment was optimized with IHGA.The relative acceleration,velocity,displacement and inter-story shear of structure with MRD were reduced greatly by optimization.It showed that IHGA was an effective method for layout optimization of intelligent control equipment.The various earthquake responses of structure with MRD got better control after it was optimized with IHGA.

【关键词】 半主动控制MRD优化设计遗传算法
【Key words】 semi-active controlMRDoptimum designgenetic algorithm
【基金】 国家自然科学基金(50508008);辽宁省教育厅高等学校科研项目(2005343)
  • 【文献出处】 沈阳建筑大学学报(自然科学版) ,Journal of Shenyang Jianzhu University(Natural Science) , 编辑部邮箱 ,2006年02期
  • 【分类号】TU352.1
  • 【被引频次】6
  • 【下载频次】113
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