Time-varying characteristics analysis of vehicle-bridge interaction system based on modified S-transform reassignment technique. (November 2021)

• Record Type: Journal Article
• Authors: Zhang, Jing; Yang, Dong; Ren, Wei-Xin; Yuan, Ye
• Is Part Of: Mechanical systems and signal processing. Volume 160(2021)
• Publication Date: 2021-11
• Subjects: S-transform -- Reassignment technique -- Time–frequency concentration -- Vehicle-bridge interaction -- Time-varying system identification; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2021.107807
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: An S-transform-based time-varying characteristic analysis method is proposed to extract the frequency fluctuations. The approximation description between structural instantaneous frequency and S-transform is deducted. A novel Gaussian window function is proposed for S-transform to improve the time-frequency resolution. The laboratory vehicle-bridge dynamic interaction experiment is conducted for verification. Parametric study involving road surface roughness are discussed in the numerical simulation. Abstract: The health monitoring of bridge under moving vehicles demands a high-efficient time-varying characteristic analysis method to extract the frequency fluctuations caused by vehicle-bridge dynamic interaction effect. Characteristics identification of structures becomes a challenging task especially when time-varying vibration modes are involved. For this purpose, an instantaneous frequency identification technique based on modified S-transform reassignment is presented in this paper. Firstly, the general approximation between structural instantaneous frequency and S-transform is deduced. The Gaussian window is employed in S-transform and a novel first-order frequency function with two parameters is added into the Gaussian window function to improve the time–frequency resolution. The added function makes the Gaussian window scalable-sliding and the optimal values of the parameters are selected based on time–frequency concentration criterion. Considering the Rényi entropy as the measurement of criterion, the information performance extracted from S-transform spectrogram is evaluated. Then the time–frequency reassignment technique is applied to improve the readability of S-transform spectrogram to assure the accuracy of the extracted instantaneous characteristics, which enhances the time–frequency concentration efficiently. The proposed method is verified by numerical simulation, the results obtained by the spectrograms derived from short-time Fourier transform, wavelet transform, modified S-transform and reassigned modified S-transform are compared. Afterwards, the time-varying frequency components related to the vehicle-bridge interaction are extracted from the response signal. Numerical simulations involving different parameter analysis and laboratory experiments are conducted to validate the flexibility of the technique in vehicle-bridge system. The effect of vehicle weight, speed and road surface roughness on the identified results are discussed. Both numerical and experimental results have demonstrated that a higher time–frequency concentration in the spectrogram can be observed of the proposed modified S-transform reassignment method than other time–frequency methods, and subsequently a higher accuracy of instantaneous frequency identification is achieved which provides a good tool for time-varying characteristic analysis in bridge health monitoring.