智能振动控制装置布局优化设计
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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.
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.
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.
引文
[1]张延年,刘剑平,李艺.双向耦合地震作用下的混合控制结构研究[J].沈阳建筑大学学报:自然科学版,2006,22(1):1-5.
[2]Symans M D,Constantinau M C.Semi-active controlsystems for seismic protection of structures:a state ofthe art review[J].Journal of Engineering Structures,1999,21(6):469-487.
[3]Takesue N,Furusho J,Kiyota Y.Fast response MR-fluid actuator[J].JSME International Journal,2004,47(3):783-791.
[4]张延年,刘剑平,刘斌.多向地震耦合作用下MR阻尼结构的地震反应分析[J].东北大学学报:自然科学版,2005,26(9):897-900.
[5]Toshihiko S,Tomoya S,M Shin.Design and perfor-mance verification of variable damper using MR fluid[J].American Society of Mechanical Engineers,Dy-namic Systems and Control Division(Publication)DSC,2003,72(2):989-994.
[6]Yang G Q,Spencer J B,Jung HJ,et al.Dynamic model-ing of large-scale magnetorheological damper systemsfor civil engineering applications[J].Journal of Engi-neering Mechanics,2004,130(9):1107-1114.
[7]Xia P Q.An inverse model of MR damper using opti-mal neural network and system identification[J].Journal of Sound and Vibration,2003,266(5):1009-1023.
[8]Atray V S,Roschke P N.Neuro-fuzzy control of rail-car vibrations using semiactive dampers[J].Comput-er-Aided Civil and Infrastructure Engineering,2004,2(19):81-92.
[9]徐龙河,周云,李忠献.半主动控制装置在受控结构中的优化设置[J].地震工程与工程振动,2000,20(3):143-148.
[10]张延年,刘剑平,刘斌,等.改进单向搜索遗传算法的工程结构优化设计[J].力学季刊,2005,26(2):293-298.
[11]张延年,刘斌,朱朝艳.工程结构优化设计的改进混合遗传算法[J].吉林大学学报:工学版,2005,35(1):65-69.
[12]张延年,刘斌,郭鹏飞,混合遗传算法在工程结构优化设计中的应用[J].工业建筑,2005,35(3):23-26.
[13]张延年,刘斌,董锦坤.改进遗传算法在建筑结构优化设计中的应用[J].东北大学学报:自然科学版,2004,25(7):692-694.
[14]张延年,刘斌,郭鹏飞..基于混合遗传算法的建筑结构优化设计[J].东北大学学报:自然科学版,2003,24(10):990-993.
[2]Symans M D,Constantinau M C.Semi-active controlsystems for seismic protection of structures:a state ofthe art review[J].Journal of Engineering Structures,1999,21(6):469-487.
[3]Takesue N,Furusho J,Kiyota Y.Fast response MR-fluid actuator[J].JSME International Journal,2004,47(3):783-791.
[4]张延年,刘剑平,刘斌.多向地震耦合作用下MR阻尼结构的地震反应分析[J].东北大学学报:自然科学版,2005,26(9):897-900.
[5]Toshihiko S,Tomoya S,M Shin.Design and perfor-mance verification of variable damper using MR fluid[J].American Society of Mechanical Engineers,Dy-namic Systems and Control Division(Publication)DSC,2003,72(2):989-994.
[6]Yang G Q,Spencer J B,Jung HJ,et al.Dynamic model-ing of large-scale magnetorheological damper systemsfor civil engineering applications[J].Journal of Engi-neering Mechanics,2004,130(9):1107-1114.
[7]Xia P Q.An inverse model of MR damper using opti-mal neural network and system identification[J].Journal of Sound and Vibration,2003,266(5):1009-1023.
[8]Atray V S,Roschke P N.Neuro-fuzzy control of rail-car vibrations using semiactive dampers[J].Comput-er-Aided Civil and Infrastructure Engineering,2004,2(19):81-92.
[9]徐龙河,周云,李忠献.半主动控制装置在受控结构中的优化设置[J].地震工程与工程振动,2000,20(3):143-148.
[10]张延年,刘剑平,刘斌,等.改进单向搜索遗传算法的工程结构优化设计[J].力学季刊,2005,26(2):293-298.
[11]张延年,刘斌,朱朝艳.工程结构优化设计的改进混合遗传算法[J].吉林大学学报:工学版,2005,35(1):65-69.
[12]张延年,刘斌,郭鹏飞,混合遗传算法在工程结构优化设计中的应用[J].工业建筑,2005,35(3):23-26.
[13]张延年,刘斌,董锦坤.改进遗传算法在建筑结构优化设计中的应用[J].东北大学学报:自然科学版,2004,25(7):692-694.
[14]张延年,刘斌,郭鹏飞..基于混合遗传算法的建筑结构优化设计[J].东北大学学报:自然科学版,2003,24(10):990-993.
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