Processing and analysis of surface strain signals of bridge structures under explosive loading

Can Zhang; Chunyan Zhang; Chaoyang Xue

doi:10.1117/12.2674528

28 April 2023 Processing and analysis of surface strain signals of bridge structures under explosive loading

Can Zhang, Chunyan Zhang, Chaoyang Xue

Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 126260M (2023) https://doi.org/10.1117/12.2674528
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China

Abstract

In order to analyze the bridge strain signal under explosive load, the sym N wavelet basis function is selected by wavelet analysis method to conduct multi-layer decomposition and reconstruction of the corresponding strain signal, analyze the main characteristics of each frequency band signal, and discuss the frequency band range of the measured strain signal. The results show that the measured strain signal is mainly concentrated in the low frequency part, and the high frequency part is caused by various interference factors; The highest frequency of effective strain signal is mainly below 5KHz, which can provide theoretical reference for strain gauge selection during bridge strain measurement under explosive load.

Citation Download Citation

Can Zhang, Chunyan Zhang, and Chaoyang Xue "Processing and analysis of surface strain signals of bridge structures under explosive loading", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 126260M (28 April 2023); https://doi.org/10.1117/12.2674528

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