A Guided Wave Approach to Defect Detection in Switch Rail

Abstract

An approach to detect switch rail defect based on ultrasonic guided wave technology is studied. Eight typical cross‐sections are chosen from the switch rail, and each cross‐section's theoretical dispersion curves and wave structures are derived using the semianalytical finite‐element method. The dispersion curve of eight sections has 262 modes at 60 kHz. Based on k‐means clustering analysis algorithm, 25 kinds of classification results are obtained from 262 modes. According to the mean and variance of energy, an optimal set of modes with uniform amplitude over the entire section of the switch rail is selected. The optimal excitation point is determined based on the vibration energy. The defect echo signal is obtained by excitation of these guided wave modes. Field experiment results show that by comparing the sum of the differences between the collected and basic data and setting a certain threshold, the internal defect detection of the switch guide rail can be realized. The research results herein are valuable for analyzing the dispersion characteristics and realizing the nondestructive testing of the variable cross‐section waveguide.