Modal decomposition of response signals for a bridge structure based on the improved EEMD

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Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (10) : 23-30.

CHEN Yonggao1,ZHONG Zhenyu1,2

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Abstract

With the continuous application of bridge health monitoring system in bridge structures, the importance of bridge response signal preprocessing is becoming more and more prominent.The basic characteristics of bridge response signals were analyzed, in order to select out the best algorithm for signal decomposition, that is, the ensemble empirical mode decomposition.Considering the two disadvantages of the decomposition algorithm, the phenomenon of modal aliasing and the screening of effective eigenmode functions, a new solution was presented, which embeds the decorrelation algorithm and the pedigree clustering of multivariate statistics analysis in the process of decomposition to ensure the global orthogonality of the intrinsic mode functions, thus effectively avoids the happening of modal mixing.Furthermore, a new index to filter the effective eigenmode function was constructed to realize the intelligent screening.Finally, the modal decomposition of the simulated data and the response signal of an actual cable-stayed bridge were carried out, and all the results were compared and analyzed.The results show that the proposed algorithm can effectively correct the problems of the set empirical mode decomposition algorithm.It can be used not only in simulation signals but also in actual bridge vibration signal, and the decomposition results are reliable.

Key words

Bridge health monitoring / Response signal / Ensemble empirical mode decomposition / Mode mixing / Intrinsic mode functions

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CHEN Yonggao1,ZHONG Zhenyu1,2. Modal decomposition of response signals for a bridge structure based on the improved EEMD[J]. Journal of Vibration and Shock, 2019, 38(10): 23-30

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