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Mechanism of the Passive Tap-Scan Damage Detection Method
Zhuyou Hu1, Ping Lin2,3, He Guo2,3, Yumei Zhang2,3, Zhihai Xiang1,*
1 Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, China
2 CCCC Road & Bridge Inspection & Maintenance Co., Ltd, Beijing, 10000, China
3 CCCC Infrastructure Maintenance Group Co., Ltd, Beijing, 10000, China
* Corresponding Author: Zhihai Xiang. Email:
The International Conference on Computational & Experimental Engineering and Sciences 2023, 26(1), 1-2. https://doi.org/10.32604/icces.2023.09475
Abstract
In recent years, the vehicle scanning method for bridge inspection has drawn much attention by researchers
because of its simple operation and high efficiency [1]. Besides the natural frequency, modal modes and
other information of bridges, damage can also be detected in this way [2]. For example, we proposed the
passive tap-scan damage detection method [3], which scans the bridge with the tapping force generated by
a toothed wheel, mimicking the hunting behavior of woodpeckers. In this talk, we will discuss two critical
aspects related to the mechanism of this method. One is the quantitative relationship between the vehicle
acceleration and the damage. Another is the details of the tapping force. To discuss the first aspect, we
establish a theoretical model that implies the amplitude of the vehicle acceleration is very sensitive to the
stiffness transition in bridge girders and can be quantified as a quadratic function of the stiffness change
ratio [4]. To discuss the second aspect, we propose a novel moving force identification (MFI) method to
identify the tapping force. To improve the well-posedness of MFI, the response matrix is transformed to the
time-frequency domain by wavelets and the Element-wise Bayesian regularization is adopted to apply
regularization on each force element [5,6]. Since regularization weights are determined by the measurement
with noise, the optimal weights can be obtained by adding certain white noises, showing a stochastic
resonance phenomenon. All these findings are quantitatively verified by numerical simulations and
experimental tests.
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Cite This Article
APA Style
Hu, Z., Lin, P., Guo, H., Zhang, Y., Xiang, Z. (2023). Mechanism of the passive tap-scan damage detection method. The International Conference on Computational & Experimental Engineering and Sciences, 26(1), 1-2. https://doi.org/10.32604/icces.2023.09475
Vancouver Style
Hu Z, Lin P, Guo H, Zhang Y, Xiang Z. Mechanism of the passive tap-scan damage detection method. Int Conf Comput Exp Eng Sciences . 2023;26(1):1-2 https://doi.org/10.32604/icces.2023.09475
IEEE Style
Z. Hu, P. Lin, H. Guo, Y. Zhang, and Z. Xiang "Mechanism of the Passive Tap-Scan Damage Detection Method," Int. Conf. Comput. Exp. Eng. Sciences , vol. 26, no. 1, pp. 1-2. 2023. https://doi.org/10.32604/icces.2023.09475