Rail Crack Monitoring Using Acoustic Emission Technique

This thesis provides an innovative strategy for rail crack monitoring using the acoustic emission (AE) technique. The field study presented is a significant improvement on laboratory studies in the literature in terms of complex rail profile and crack conditions as well as high operational noise. AE waves induced by crack propagation, crack closure, wheel-rail impact and operational noise were obtained through a series of laboratory and field tests, and analyzed by wavelet transform (WT) and synchrosqueezed wavelet transform (SWT). A wavelet power-based index and the enhanced SWT scalogram were sequentially proposed to classify AE waves induced by different mechanisms according to their energy distributions in the timefrequency domain. A novel crack sizing method taking advantage of crack closure-induced AE waves was developed based on fatigue tests in the laboratory. The propagation characteristics of AE waves in the rail were investigated, and Tsallis synchrosqueezed wavelet entropy(TSWE) with time was finally brought forward to detect and locate rail cracks in the field. The proposed strategy for detection, location and sizing of rail cracks helps to ensure the safe and smooth operation of the railway system. This thesis is of interest to graduate students, researchers and practitioners in the area of structural health monitoring.

Summarizes the latest studies in rail crack monitoring using acoustic emission (AE), a nondestructive testing technique Provides a strategy for AE rail crack monitoring in the context of crack identification, location and quantification, and noise cancellation in laboratory and field environments Covers numerous applications that are of great importance to the railway industry and academic

Inhalt

Introduction.- Literature review.- Propagation features and source location.- Sizing of fatigue cracks.- Field monitoring of rail cracks.- Conclusions and future work.