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作 者:陈凡[1] 郭玉荣[1,2] CHEN Fan;GUO Yurong(School of Civil Engineering,Hunan University,Changsha 410082 China;Key Laboratory of Building Safety and Energy Efficiency,Changsha 410082,China)
机构地区:[1]湖南大学土木工程学院,湖南长沙410082 [2]建筑安全与节能教育部重点实验室,湖南长沙410082
出 处:《地震工程与工程振动》2020年第1期162-170,共9页Earthquake Engineering and Engineering Dynamics
基 金:国家自然科学基金项目(51878259,51468010);国家自然科学基金重大国际合作项目(51161120360)~~
摘 要:模型更新混合试验在传统混合试验方法的基础上更新与试验构件具有相同恢复力特性的构件,扩展了混合试验方法的应用范围。本文旨在提高模型更新混合试验的精度,降低试验的成本并简化模型更新混合试验方法的流程。自适应UKF(AUKF)算法在传统UKF的基础上加入方差自适应模块,能够减轻初始参数设定对参数识别结果的影响,本文基于AUKF提出一种模型更新混合试验方法。对以Bouc-Wen为恢复力模型的防屈曲约束支撑(BRB)进行低周反复加载虚拟试验,通过Matlab编制AUKF算法程序进行参数识别,验证了AUKF算法的高效准确性。对一榀8层4跨带BRB的钢框架进行混合试验数值仿真,结果表明离线模型更新试验结果较在线模型更新更接近真实结果,且简化了试验流程。The model updating hybrid test method update the components with the same restoring force characteristics as the test components on the basis of the traditional hybrid test method,and extends the application range of the hybrid test method.The main objective of this paper is to improve the accuracy of the model updating hybrid test,reduce the cost of the test and simplify the process of the model updating hybrid test method.The AUKF add the variance adaptive module based on the UKF,which can reduce the influence of the initial error on the parameter estimation.A new model updating hybrid test method base on AUKF was proposed.With Bouc-Wen model,OpenSees is used to simulate the hysteretic behavior of BRB subjected to low cyclic loading,and the AUKF algorithm program is compiled by MATLAB to identify the parameters,which verifies the high efficiency and accuracy of the AUKF algorithm.Virtual hybrid tests of an 8-story,4-bay steel frame equipped with BRBs were conducted,which shows that the test results of off-line model updating method are closer to the real results than the online model updating test,and the test process is simplified.
关 键 词:AUKF 模型更新 参数识别 Bouc-Wen恢复力模型
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