Removing mass loading effects of multi-transducers using Sherman-Morrison-Woodbury formula in modal test

Abstract In the modal test of lightweight structures, the measured data is easily polluted by mass loading effects of transducers. A method is proposed to eliminate the influence of sensors for accurately estimating the frequency response functions (FRFs) of structures. Considering the situation that the multiple accelerometers lead to changes in the dynamic stiffness matrix, the corrected FRFs are derived from the original measured signals based on the Sherman-Morrison-Woodbury formula. The salient feature of the proposed strategy is that the adverse effects of sensors can be eliminated in only one step. Numerical simulations are conducted by employing a six-degrees of freedom spring-mass system, modal frequencies and mode shapes with high accuracy are obtained by measured signals. Experimental investigation is undertaken by using a laboratory solar panel. Results show that the effects of multi-transducers mass can be removed efficiently and the corrected FRFs are in good agreement with the targeted values. The excitation and measurement points are regarded as active coordinates, and the computational efficiency can be significantly improved when the presented method is applied on active coordinates.

[1]  Qingguo Fei,et al.  Modal energy analysis for mechanical systems excited by spatially correlated loads , 2018, Mechanical Systems and Signal Processing.

[2]  Kenan Y. Sanliturk,et al.  Elimination of transducer mass loading effects from frequency response functions , 2005 .

[3]  Yogendra Kumar Mishra,et al.  Aerographite: Ultra Lightweight, Flexible Nanowall, Carbon Microtube Material with Outstanding Mechanical Performance , 2012, Advanced materials.

[4]  Nuno M. M. Maia,et al.  Cancellation of mass-loading effects of transducers and evaluation of unmeasured frequency response functions , 2000 .

[5]  J. Decker,et al.  Correction of Transducer-loading Effects in Experimental Modal Analysis , 1995 .

[6]  Natsuki Tsushima,et al.  A study on adaptive vibration control and energy conversion of highly flexible multifunctional wings , 2018, Aerospace Science and Technology.

[7]  Wei Wang,et al.  Elimination of transducer mass loading effects in shaker modal testing , 2013 .

[8]  Pedram Zamani,et al.  Cancelation of transducer effects from frequency response functions: Experimental case study on the steel plate , 2016 .

[9]  Hector Gutierrez,et al.  Monitoring multi-axial vibrations of flexible rockets using sensor-instrumented reference strain structures , 2017 .

[10]  Erhan Budak,et al.  Analysis and compensation of mass loading effect of accelerometers on tool point FRF measurements for chatter stability predictions , 2010 .

[11]  Alain Appriou,et al.  Multiple signal tracking processes , 1997 .

[12]  Rakesh K. Kapania,et al.  Nonstationary Random Vibration Analysis of Wing with Geometric Nonlinearity Under Correlated Excitation , 2018, Journal of Aircraft.

[13]  Zeng Lei,et al.  A data processing method in the experiment of heat flux testing using inverse methods , 2013 .

[14]  Qingguo Fei,et al.  Using Sherman–Morrison theory to remove the coupled effects of multi-transducers in vibration test , 2019 .

[15]  J. Sherman,et al.  Adjustment of an Inverse Matrix Corresponding to a Change in One Element of a Given Matrix , 1950 .

[16]  M. R. Ashory Correction of Mass-loading Effects of Transducers and Suspension Effects in Modal Testing , 1998 .

[17]  H. Nevzat Özgüven,et al.  Structural modifications using frequency response functions , 1990 .

[18]  Jae Hyuk Lim,et al.  Improving the reliability of the frequency response function through semi-direct finite element model updating , 2016 .

[19]  Qingguo Fei,et al.  An approach on identification of equivalent properties of honeycomb core using experimental modal data , 2014 .

[20]  E. Yip A Note on the Stability of Solving a Rank-p Modification of a Linear System by the Sherman–Morrison–Woodbury Formula , 1986 .