为提高载荷识别与结构响应重构的精度及效率,提出了一种同时考虑传递矩阵误差和测量误差的改进Tikhonov正则化方法。首先,通过结构动力学模型构建状态空间方程和传递矩阵,得到结构载荷和响应的重构方程;其次,利用截断随机奇异值分解方法计算测点位置的近似传递矩阵,同时结合总体最小二乘法(Total Least Squares Method
To improve the accuracy and efficiency of load identification and structural response reconstruction
an improved Tikhonov regularization method that simultaneously considers transfer matrix error and measurement error was proposed. Firstly
the state space equation and transfer matrix were constructed through the structural dynamics model to obtain the reconstruction equation of the structural load and response. Secondly
the truncated randomized singular value decomposition method was used to calculate the approximate transfer matrix at the locations of the measurement points
while the total least squares method (TLSM) and the traditional Tikhonov regularization method were combined to identify the load
and then the unknown response was reconstructed by the transfer matrix at the locations. Finally
a numerical simulation and an experimental analysis were carried out for two-dimensional truss and simply supported beam to verify the proposed method. The results show that compared with the traditional Tikhonov regularization method
the proposed method can improve the reconstruction efficiency while guaranteeing the reconstruction accuracy.
ZHANG Xiaohua , XIAO Xingyong , FANG Shenen . Dynamic response reconstruction for bridge structural health monitoring based on compressed sensing [J]. Journal of Vibration Engineering , 2022 , 35 ( 3 ): 699 - 706 . (In Chinese)
ZHANG C W , MOUSAVI A A , MASRI S F , et al . Vibration feature extraction using signal processing techniques for structural health monitoring:a review [J]. Mechanical Systems and Signal Processing , 2022 , 177 : 109175 .
DONG Kangli , YIN Hong , PENG Zhenrui . Structural response reconstruction oriented to optimal multi-type sensor placement [J]. Control Theory & Applications , 2018 , 35 ( 9 ): 1339 - 1346 . (In Chinese)
HE J J , GUAN X F , LIU Y M . Structural response reconstruction based on empirical mode decomposition in time domain [J]. Mechanical Systems and Signal Processing , 2012 , 28 : 348 - 366 .
ZOU Yunfeng , FU Zhengyi , HE Xuhui , et al . Dynamic response reconstruction method based on empirical mode decomposition and model condensation [J]. Engineering Mechanics , 2022 , 39 ( 2 ): 67 - 75 . (In Chinese)
RIBEIRO A M R , SILVA J M M , MAIA N M M . On the generalisation of the transmissibility concept [J]. Mechanical Systems and Signal Processing , 2000 , 14 ( 1 ): 29 - 35 .
KAMMER D C . Estimation of structural response using remote sensor locations [J]. Journal of Guidance,Control,and Dynamics , 1997 , 20 ( 3 ): 501 - 508 .
LAW S S , LI J , DING Y . Structural response reconstruction with transmissibility concept in frequency domain [J]. Mechanical Systems and Signal Processing , 2011 , 25 ( 3 ): 952 - 968 .
LI J , LAW S S . Substructural response reconstruction in wavelet domain [J]. Journal of Applied Mechanics , 2011 , 78 ( 4 ): 041010 .
LIU J , LI B . A novel strategy for response and force reconstruction under impact excitation [J]. Journal of Mechanical Science and Technology , 2018 , 32 ( 8 ): 3581 - 3596 .
LIU R X , HOU Z C , WU P B , et al . Dynamic load identification for a power battery pack based on a combined regularization algorithm [J]. Journal of Sound and Vibration , 2022 , 529 : 116928 .
WANG Juan , YANG Qingshan . Dynamic response reconstruction method in time domain based on state space [J]. Journal of Building Structures , 2016 , 37 ( Suppl.1 ): 460 - 466 . (In Chinese)
MIAO Bingrong , ZHOU Feng , CHEN Xiangyu , et al . Research of the structure load identification hybrid technology using kernel function and different regularization method [J]. Journal of Vibration Engineering , 2018 , 31 ( 4 ): 553 - 560 . (In Chinese)
TANG Z H , ZHANG Z F , XU Z M , et al . Load identification with regularized total least-squares method [J]. Journal of Vibration and Control , 2022 , 28 ( 21/22 ): 3058 - 3069 .
ZHANG XianDa . Matrix analysis and applications [M]. 2nd ed . Beijing : Tsinghua University Press , 2013 : 336 - 339 . (In Chinese)
BAI X L , HUANG G X , LEI X J , et al . A novel modified TRSVD method for large-scale linear discrete ill-posed problems [J]. Applied Numerical Mathematics , 2021 , 164 : 72 - 88 .