Identification of time-varying structural parameters with partial measurements by synthesis of wavelet multiresolution analysis and kalman filter
Structural parameter identification has been emerged as an interesting and important problem in structural health monitoring(SHM).Structural parameters directly reflect the dynamic characteristics of structures,so the identification of time-varying structural physical parameters is more meaningful to civil engineering structures.To overcome the limitations of requiring full measurements of structural responses in previous research,an algorithm based on the integration of wavelet multiresolution analysis and Kalman filter with partial measurements of structural acceleration responses is proposed.First,the time-varying structural physical parameters are expanded at multi-scale profile by wavelet multiresolution analysis and a time-varying parametric identification problem can be converted into a timeinvariant one.Then,structural states at all dynamic degrees-of-freedom(DOFs)are estimated recursively by the Kalman filter with partial measurements of structural acceleration responses at previous step.The scale coefficients of the expansion can be obtained by minimizing the error between estimated and observed accelerations.Some numerical examples of identifying time-varying structural parameters of a linear three-story shear type frame are used to illustrate the effectiveness and accuracy of the proposed algorithm.
time-varying parameter identification wavelet analysis Kalman filter partial observation
Siyi Chen Ying Lei
Department of Civil Engineering,Xiamen University,Xiamen,China
国际会议
The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)
青岛
英文
2845-2853
2018-07-22（万方平台首次上网日期，不代表论文的发表时间）