Open AccessOptical diagnostics of railway rail defects
Author(s) -
A. Yu. Poroykov,
M. O. Sharikova,
A. Yu. Marchenkov,
V. A. Barat
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2127/1/012044
Subject(s) - acoustic emission , visualization , vibration , digital image correlation , computer science , nondestructive testing , acoustics , state (computer science) , materials science , structural engineering , engineering , artificial intelligence , physics , algorithm , composite material , quantum mechanics
The safety of rail transport, including passenger traffic, largely depends on the timely diagnosis of the state of the rail infrastructure. To determine the state of metal structures, the method of acoustic emission (AE) is used. It is based on the registration of elastic mechanical vibrations arising in the material of the controlled object from a defect. The AE method is highly informative, but the interpretation of measurement results often causes difficulties, especially when studying complex structural elements. In this paper, it is proposed to use the digital image correlation (DIC) method to study the defects of railway rails using the acoustic emission method. Visualization of defects using the DIC method will make it possible to better interpret the results of inspection by the acoustic emission method and to establish the relationship between the size of defects and the parameters of AE pulses.