巨-子结构控制体系的参数优化及随机响应灵敏度分析  

Parameter Optimization and Stochastic Response Sensitivity Analysis of Mega-sub Control System

作　　者：李祥秀[1] 谭平[2] 闫维明[1] 王瑾[1] 周福霖[1,2] 

机构地区：[1]北京工业大学建筑工程学院,北京100124 [2]广州大学工程抗震研究中心,广州510405

出　　处：《北京工业大学学报》2015年第6期899-905,共7页Journal of Beijing University of Technology

基　　金：国家"973"计划资助项目(2012CB723304);国家教育部新世纪人才资助项目(NCET-11-0914);国家自然科学基金资助项目(51208129)

摘　　要：为了研究巨-子结构控制体系中隔震层的最优参数,建立了巨-子结构控制体系的动力微分方程,基于遗传算法理论以基底剪力最小为优化目标对结构的物理参数进行了优化.采用虚拟激励法和摄动法,分析了巨-子结构控制体系平稳随机响应对各参数的灵敏程度.通过主结构层问位移方差、隔震层层间位移方差、子结构顶层绝对加速度方差对各参数的敏感程度分析表明,各响应对子结构的层刚度敏感性最小,而对子结构层质量、隔震层层刚度以及隔震层阻尼较为敏感.In order to study the optimal parameters of the isolation layer in mega-sub control system, equation of motion of mega-sub control system was established, and the parameter optimization of mega-sub control system was studied based on the genetic algorithm theory where base shear was used as the optimization object function. The sensitivity of the stochastic response of the mega-sub control system to the structure＇ s parameters was analyzed by virtual excitation method and perturbation method. From the sensitivity of variance of the main structure story drift, isolation layer story drift, and the absolute acceleration variance of the top substructure to each parameter. It shows that the sensitivity of the response of the structure is weaker to the stiffness of substructure, and is more sensitive to the quality of substructure. The stiffness and damping of isolation layers,which also explains the reasons why that the mass ratio, frequency ratio and damping ratio are usually used for performance analysis of mega-sub control system.

关 键 词：巨-子结构控制体系 遗传算法 虚拟激励法 随机响应 灵敏度 

分 类 号：TU352.1[建筑科学—结构工程]