基于智能算法的磁流变阻尼器位置优化
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摘要
为了控制20层Benchmark建筑在地震作用下的非线性地震反应,采用改进的遗传算法确定MR阻尼器的优化设置位置.将标准遗传算法的遗传操作作相应改进,并进行给定数量的MR阻尼器优化配置的数值仿真分析,解决多约束非线性整数优化问题.结果表明,采用改进的遗传算法进行MR阻尼器位置设置优化后的半主动控制,能有效地降低结构在地震荷载作用下的响应,进一步提高了平均控制效果.
The paper presents a new method for identifying the optimal MR damper distribution to control the seismic response of a 20-story benchmark building.An improved algorithm of Genetic Algorithm(GA) was successfully used to solve the nonlinear integer optimal problem with multi-constraint.In order to avoid the constraint violations caused by general optimization algorithms,some evolution rules are modified to standard GA.A numerical simulation is made based on the method to identify the optimal placement of MR dampers which can be set up at repeated locations.The results obtained from numerical simulations of the nonlinear benchmark building show that,the damper configurations evaluated herein performed well in terms of reducing the seismic response in comparison to the uncontrolled building.Compared with the case of un-optimized placement,the case of optimized based on improved GA can efficiently improve the control effect.
The paper presents a new method for identifying the optimal MR damper distribution to control the seismic response of a 20-story benchmark building.An improved algorithm of Genetic Algorithm(GA) was successfully used to solve the nonlinear integer optimal problem with multi-constraint.In order to avoid the constraint violations caused by general optimization algorithms,some evolution rules are modified to standard GA.A numerical simulation is made based on the method to identify the optimal placement of MR dampers which can be set up at repeated locations.The results obtained from numerical simulations of the nonlinear benchmark building show that,the damper configurations evaluated herein performed well in terms of reducing the seismic response in comparison to the uncontrolled building.Compared with the case of un-optimized placement,the case of optimized based on improved GA can efficiently improve the control effect.
引文
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[2]Takewaki I.Optimal damper placement for minimum transfer function[J].Earthquake Engineering and Structural Dynamics,1997,26(11):1113-1124.
[3]Teng J,LIU J.Control devices optimal installment for the new vibration control system of multi-structure connection[C]//Proceedings of 10 WCEE,Madrid Spain,19-24 July 1992.Balkema,Rotterdam:[s.n.].1992:2069-2072.
[4]阎石,宁欣,王宁伟.磁流变阻尼器在受控结构中的优化布置[J].地震工程与工程振动,2004,24(3):175-178.YAN Shi,NING Xin,WANG Ning-wei.Optimal placement of MR damper set in structures[J].Earthquake Engineering andEngineering Vibration,2004,24(3):175-178.(in Chinese)
[5]张宏伟,徐世杰,黄文虎.作动器/传感器配置优化的遗传算法应用[J].振动工程学报,1999,12(4):529-534.ZHANG Hong-wei,XU Shi-jie,HUANG Wen-hu.Global optimization of actuators/sensors placement using a float-encodinggenetic algorithm[J].Journal of Vibration Engineering,1999,12(4):529-534.(in Chinese)
[6]Wongpraser N,Symans M D.Application of a genetic algorithm for optimal damper distribution within the nonlinear seismicbenchmark building[J].Journal of Engineering Mechanics,2004,130(4):401-406.
[7]孙增圻,张再兴,邓志东.智能控制理论与技术[M].北京:清华大学出版社,2002.
[8]Ohtori Y,Christenson R E,Spencer B F,et al.Control problems for seismically excited nonlinear building[J].Journal ofEngineering Mechanics,2004,130(4):366-387.
[9]颜桂云,孙炳楠,杨骊先.高层建筑非线性地震反应的半主动模型预测控制[J].浙江大学学报:工学版,2004,38(11):1460-1465.YNA Gui-yun,SUN Bing-nan,YANG Li-xian.Semi-active model predictive control of nonlinear seismic response for high-risebuildings[J].Journal of Zhejiang University:Engineering Science,2004,38(11):1460-1465.(in Chinese)
[10]何玉彬,李新忠.神经网络控制技术及其应用[M].北京:科学出版社,2000.
[2]Takewaki I.Optimal damper placement for minimum transfer function[J].Earthquake Engineering and Structural Dynamics,1997,26(11):1113-1124.
[3]Teng J,LIU J.Control devices optimal installment for the new vibration control system of multi-structure connection[C]//Proceedings of 10 WCEE,Madrid Spain,19-24 July 1992.Balkema,Rotterdam:[s.n.].1992:2069-2072.
[4]阎石,宁欣,王宁伟.磁流变阻尼器在受控结构中的优化布置[J].地震工程与工程振动,2004,24(3):175-178.YAN Shi,NING Xin,WANG Ning-wei.Optimal placement of MR damper set in structures[J].Earthquake Engineering andEngineering Vibration,2004,24(3):175-178.(in Chinese)
[5]张宏伟,徐世杰,黄文虎.作动器/传感器配置优化的遗传算法应用[J].振动工程学报,1999,12(4):529-534.ZHANG Hong-wei,XU Shi-jie,HUANG Wen-hu.Global optimization of actuators/sensors placement using a float-encodinggenetic algorithm[J].Journal of Vibration Engineering,1999,12(4):529-534.(in Chinese)
[6]Wongpraser N,Symans M D.Application of a genetic algorithm for optimal damper distribution within the nonlinear seismicbenchmark building[J].Journal of Engineering Mechanics,2004,130(4):401-406.
[7]孙增圻,张再兴,邓志东.智能控制理论与技术[M].北京:清华大学出版社,2002.
[8]Ohtori Y,Christenson R E,Spencer B F,et al.Control problems for seismically excited nonlinear building[J].Journal ofEngineering Mechanics,2004,130(4):366-387.
[9]颜桂云,孙炳楠,杨骊先.高层建筑非线性地震反应的半主动模型预测控制[J].浙江大学学报:工学版,2004,38(11):1460-1465.YNA Gui-yun,SUN Bing-nan,YANG Li-xian.Semi-active model predictive control of nonlinear seismic response for high-risebuildings[J].Journal of Zhejiang University:Engineering Science,2004,38(11):1460-1465.(in Chinese)
[10]何玉彬,李新忠.神经网络控制技术及其应用[M].北京:科学出版社,2000.
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