Abstract
Rail networks are gradually getting busier with rolling stock traveling at higher speeds and carrying heavier axle loads than ever before. In order to consider the further application of acoustic emission (AE) for railway damage monitoring, the fatigue and AE characteristics during the fatigue crack growth (FCG) process in a rail steel were investigated in this study. For better recognition and prediction fatigue damage of rail steel, the relationship between the micromechanism and the characteristics of AE signals were studied. The FCG experiments were carried out, and the AE signals emitted from FCG process were studied by AE parameters and Fast Fourier Transformed (FFT) spectra analysis. The AE results were also compared with the fracture surfaces. The results show that the AE technique is capable of acquiring and identifying brittle fracture events during FCG of rail steel.
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