| 基于遗传算法与能量方程的粘弹性隔震装置参数优化分析 |
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| 引用本文： | 郭一峰,徐赵东,涂青.基于遗传算法与能量方程的粘弹性隔震装置参数优化分析[J].振动与冲击,2012,31(17):116-119. |
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| 作者姓名： | 郭一峰 徐赵东 涂青 |
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| 作者单位： | 1．东南大学混凝土及预应力混凝土结构教育部重点实验室, 南京 2100962. 苏州工业园区设计研究院股份有限公司，苏州 2150213. 中南市政工程中南设计研究院,武汉 430010 |
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| 基金项目： | 国家自然科学基金重大研究计划(90915004);教育部博士点基金(6205000009);国家自然科学基金(11176008) |
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| 摘 要： | 本文基于能量方程研究了粘弹性隔震装置的参数优化问题，从能量角度提出了基于遗传算法的目标优化函数，建立了粘弹性隔震装置参数优化模型。以柱面网壳隔减震为例，基于遗传算法和能量方程，采用ANSYS和MATLAB并行对其进行参数优化分析，并分析了该方法对地震波的敏感性。结果表明：基于能量方程的优化目标函数，通过遗传算法优化分析得到的粘弹性隔震参数能够使得结构的位移和应力得到有效的控制；同时也表明该优化方法受不同地震波的影响较小。
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| 关 键 词： | 遗传算法 能量方程 粘弹性隔震 参数优化 |
| 收稿时间： | 2010-12-7 |
| 修稿时间： | 2011-9-7 |
Optimal analysis for parameters of a viscoelastic earthquake-isolation device based on genetic algorithm and energy equation |
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| GUO Yi-feng,XU Zhao-dong,TU Qing.Optimal analysis for parameters of a viscoelastic earthquake-isolation device based on genetic algorithm and energy equation[J].Journal of Vibration and Shock,2012,31(17):116-119. |
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| Authors: | GUO Yi-feng XU Zhao-dong TU Qing |
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| Affiliation: | 1.Key Laboratory of Concrete and Prestressed Concrete Structures, Ministry of Education, Southeast University, Nanjing 210096, China 2. Sino-Singapore Suzhou Industral Park Design & Research Institute CO.,LTD, Suzhou 215021, China3.Central and Southern China Municipal Engineering Design and Research Institute, Wuhan 430010, China |
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| Abstract: | Parametric optimization of a viscoelastic damper in earthquake isolation and mitigation of structures was investigated here.Based on the energy equation,an objective function for optimization was set up,and a parametric optimization model for a viscoelastic damper was developed.Then,the genetic algorithm programmed with MATLAB was used to complete the parametric optimization of a cylindrical reticulated shell modeled with ANSYS,and the sensitivity of this method to the earthquake waves was also studied.The parameters of the viscoelastic damper were obtained with genetic algorithm based on energy equation.The numerical results showed that the displacement and stress of the structure are controlled effectively;additionally,the different earthquake waves have little influence on the results obtained with the proposed method. |
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| Keywords: | genetic algorithm energy equation viscoelastic dampers parameter optimization |
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