Identification of substructural parameters and unknown inputs with limited measurements

摘要：

　　While it is possible in principle to determine the unknown structural parameters by system identification techniques,a major challenges lies in the difficulty of obtaining acceptable numerical accuracy and computational effort when the system size is large.In this paper,with the combination of a weighted adaptive iteration(WAI)algorithm and an extended Kalman filter method with a weighted global iteration(EFK-WGI)algorithm,a time domain substructural identification approach was presented for simultaneously identifying the physical parameters of concerned substructures and unknown inputs with limited response measurements.In the proposed approach,according to the location of the unknown dynamic loadings and the partially available structural response measurements,part of structural parameters of the concerned substructure and the unknown loadings were first identified by using the WAI approach.The remaining physical parameters of the concerned substructure were then determined by EFK-WGI algorithm on the basis of the previously identified loadings and substructural parameters.The efficiency and accuracy of the presented approach was verified via a 23 degrees-of-freedom(DOFs)planar truss model with unknown external excitation and limited observations.Results show that the proposed approach is capable of satisfactorily identifying both the substructural parameters and unknown loading within limited iterations when both the excitation and dynamic response are partially unknown.

关键词： Substructural identification WAI algorithm EKF-WGI algorithm unknown inputs limited measurements

作者: X.X.Zhang J.He B.Xu

作者单位: College of Civil Engineering,Hunan University,Changsha,China College of Civil Engineering,Huaqiao University,Xiamen,China

会议类型: 国际会议

会议名称: The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)

会议地点: 青岛

会议语种:英文

页码: 2760-2768

在线出版日期: 2018-07-22（万方平台首次上网日期，不代表论文的发表时间）