Analysis on Wave-Velocity Inverse Imaging for the Supporting Layer in Ballastless Track

Yong YANG  Junwei LU  Baoxian WANG  Weigang ZHAO  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E103-D   No.7   pp.1760-1764
Publication Date: 2020/07/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2019EDL8216
Type of Manuscript: LETTER
Category: Fundamentals of Information Systems
Keyword: 
supporting layer,  WSCA,  wave velocity estimation,  inverse imaging,  total variation,  

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Summary: 
The concrete quality of supporting layer in ballastless track is important for the safe operation of a high-speed railway (HSR). However, the supporting layer is covered by the upper track slab and the functional layer, and it is difficult to detect concealed defects inside the supporting layer. To solve this problem, a method of elastic wave velocity imaging is proposed to analyze the concrete quality. First, the propagation path of the elastic wave in the supporting layer is analyzed, and a head-wave arrival-time (HWAT) extraction method based on the wavelet spectrum correlation analysis (WSCA) is proposed. Then, a grid model is established to analyze the relationships among the grid wave velocity, travel route, and travel time. A loss function based on the total variation is constructed, and an inverse method is applied to evaluate the elastic wave velocity in the supporting layer. Finally, simulation and field experiments are conducted to verify the suppression of noise signals and the accuracy of an inverse imaging for the elastic wave velocity estimation. The results show that the WSCA analysis could extract the HWAT efficiently, and the inverse imaging method could accurately estimate wave velocity in the supporting layer.