@Article{icces.2023.09475,
AUTHOR = {Zhuyou Hu, Ping Lin, He Guo, Yumei Zhang, Zhihai Xiang},
TITLE = {Mechanism of the Passive Tap-Scan Damage Detection Method},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {27},
YEAR = {2023},
NUMBER = {1},
PAGES = {1--2},
URL = {http://www.techscience.com/icces/v27n1/54096},
ISSN = {1933-2815},
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.},
DOI = {10.32604/icces.2023.09475}
}