Ambient vibration data re-sampling by cubic spline interpolation for accuracy improvement of bridge dynamic characteristics estimation using realization theory

抄録

Using the idea of data sampling interval, a new method has been proposed to improve the estimation accuracy of dynamic characteristics with ERA method. The coarse re-sampling data of low frequency vibration is prepared by eliminating intermediate data points, and dense re-sampling data of high frequency vibration is prepared by using cubic spline interpolation. The vibration data has been filtered to generate low, medium, and high frequency vibration data. The proposed method is evaluated by numerical simulation of a stiffened arch bridge and experimental data obtained by field measurement of an existing bridge. The results obtained both from numerical simulation and experimental data demonstrate high accuracy of the proposed method. In particular, coarse re-sampling and dense re-sampling data will lead to better estimation of bridge dynamic characteristics.