Using Two Sensors for Damage Detection of Bridge Based on Transfer Entropy of Vehicle-bridge Information
Journal: Journal of Building Technology DOI: 10.32629/jbt.v3i1.604
Abstract
An innovative damage identification method using only two sensors for damage detection of bridge based on transfer entropy of vehicle- bridge information is proposed in this article. In this method, a test vehicle passing through the bridge surface, and structural vibration acceleration responses at two measuring points are measured from two acceleration sensors, which one set on the bridge, and the other one set on the test vehicle. A fixed moving window is defined as a definitive length calculated by the sampling frequency and the fundamental frequency of the measured acceleration responses. The windowed pair time series extracted from the two measured acceleration responses that obtained from the bridge and the moving vehicle respectively are used to calculate the transfer entropy, which is used to define the new damage index. A simply supported beam bridge subjected to a test vehicle is simulated to verify the effectiveness and feasibility of this method. Numerical simulation results show that this method can accurately detect the damages under both single damage scenarios and multiple damage scenarios using acceleration responses obtained from bridge and moving vehicle. It indicates that the method proposed in this article has a promising application prospect in the field of bridge damage detection.
Keywords
structural damage detection; transfer entropy; two sensors; moving vehicle
Funding
The authors acknowledge the financial supports from the projects in key areas of Guangdong Province (No.2019B111106001) and National Key Research and Development Project of China (No. 2019YFC1511000).
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[2] Nie Z., Ngo T., & Ma H. (2017). Reconstructed Phase Space-based Damage Detection Using a Single Sensor for Beam-like Structure Subjected to a Moving Mass. Shock and Vibration,(2):1-20.
[3] Li J., & Law S. S. (2012). Damage Identification of a Target Substructure with Moving Load Excitation. Mechanical Systems & Signal Processing, 30, 78-90.
[4] Li J., Law S.S., & Hao H. (2013). Improved Damage Identification in Bridge Structures Subject to Moving Loads: Numerical and Experimental Studies. International Journal of Mechanical Sciences, 74, 99-111.
[5] Yang Y.B., Lin C.W., & Yau J.D. (2004). Extracting Bridge Frequencies from the Dynamic Response of a Passing Vehicle. Journal of Sound and Vibration, 272(3-5), 471-493.
[6] Yang Y.B., Lin C., & W. (2007). Vehicle-bridge Interaction Dynamics and Potential Applications. Noise & Vibration Worldwide, 38(2), 30-31.
[7] Bu J.Q., Law S S, & Zhu X.Q. (2006). Innovative Bridge Condition Assessment from Dynamic Response of a Passing Vehicle[J]. Journal of Engineering Mechanics, 132(12),1372-1379.
[8] Nguyen, K.V., & Hai T.T. (2010). Multi-cracks Detection of a Beam-like Structure Based on the on-vehicle Vibration Signal and Wavelet Analysis. Journal of Sound & Vibration, 329(21), 4455-4465.
[9] Aoyagi, S., Kawashima, Y., & Kudo, M. (2005). Tof-sims Imaging Technique with Information Entropy. Nuclear Instruments & Methods in Physics Research, 232(1-4), 146-152.
[10] Schreiber, & Thomas. (2000). Measuring Information Transfer. Physical Review Letters, 85(2), 461-464.
[11] Nichols, J. M., Seaver, M., & Trickey, S. T. (2006). A Method for Detecting Damage-induced Nonlinearities in Structures Using Information Theory. Journal of Sound & Vibration, 297(1-2), 1-16.
[12] Dimpfl, T., & Peter, F.J. (2018). Analyzing Volatility Transmission Using Group Transfer Entropy. Energy Economics, 75.
[13] Yang Y.B. , & Chang K.C. (2009). Extraction of Bridge Frequencies from the Dynamic Response of a Passing Vehicle Enhanced by the end Technique. Journal of Sound and Vibration, 322(4-5), 718-739.
[14] Yang Y., B., Lin, C., & W. (2007). Vehicle-bridge Interaction Dynamics and Potential Applications. Noise & Vibration Worldwide, 38(2), 30-31.
[15] Nichols, J. M., Seaver, M., Trickey, S.T., Salvino, L.W., & Pecora, D.L. (2006). Detecting Impact Damage in Experimental Composite Structures: an Information-theoretic Approach. Smart Materials & Structures, 15(2), 424.
[16] Overbey, L.A., & Todd, M. (2009). Dynamic System Change Detection Using a Modification of the Transfer Entropy. Journal of Sound and Vibration, 322(1-2), 438-453.
[17] Laura, P., Rossi, R. E., Yang Y.B., & Lin B.H. (1997). Discussion and Closure: Vehicle-bridge Interaction Analysis by Dynamic Condensation Method. Journal of Structural Engineering, 123(4), 532-533.
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