Multi-type structural responses reconstruction with unknown measurement noise

Subjects: Physics >> Electromagnetism, Optics, Acoustics, Heat Transfer, Classical Mechanics, and Fluid Dynamics submitted time 2023-12-18 Cooperative journals: 《应用力学学报》

SHI Pengcheng

Abstract：
In order to solve the problem that it is difficult to estimate the variance of the measurement noise and reconstruct the multi-type response when the traditional Kalman filter(KF)algorithm is used to reconstruct the structural response,a method combining the noise variance estimation and the multi-type response reconstruction is proposed.First,the approximate calculation method is introduced into the moving window Kalman filter(MWKF),and the recursive moving window Kalman filter(RMWKF)is proposed to estimate the real-time noise variance.Then,the strain,displacement,velocity and acceleration responses of each position of the structure are reconstructed by using the measured data of strain gauges and acceleration sensors at limited positions combined with the modal method.Finally,the proposed method are verified by numerical simulation and experimental analysis of two-dimensional truss and cantilever beam respectively.The results show that the proposed method can estimate the variance of measurement noise and can reconstruct multi-type structural responses effectively.Moreover,the data storage space and computation are reduced.

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