Hilbert-Huang Transfer Analysis on Vehicle-Induced Vibration Signal of Continuous Bridges Based on ICEEMDAN

As an improvement of the empirical mode decomposition (EMD), the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) has a good application potential in the field of structure damage identification of bridges. In this study, ICEEMDAN and Hilbert transforms were firstly performed on the simulated vehicle-induced vibrations of bridge, and the spectral feature changes caused by the damage were extracted with the established damage identification method. The established method was then applied on the measured vibration data of a real bridge, and the mode components of the vibration signals were identified. The characteristics of Hilbert instantaneous frequency spectrum were finally analyzed and discussed based on the first-order mode components of the measured signal. The results are shown as follows: There are more vibration components in the simulated signal than in the measured signal, and the insignificant mode components in the simulated signal do not appear in the measured signal; The instantaneous frequency of the first-order mode vibration component can be used as the characteristic parameter of bridge damage identification for the determination of the occurrence of damage, the damage location or even the quantification of the damage; The damage recognition capability of the established method is insensitive to the position of the measurement point; The proposed method has a feasibility in engineering practice, which completes the identification of bridge damage and damage location with a simple data acquisition procedure, and without relying on finite element model calculations.