Issue |
MATEC Web Conf.
Volume 347, 2021
12th South African Conference on Computational and Applied Mechanics (SACAM2020)
|
|
---|---|---|
Article Number | 00034 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/matecconf/202134700034 | |
Published online | 23 November 2021 |
Modelling and simulation of ultrasonic inspections in welded rails subjected to practical environmental conditions
1
Center for Asset Integrity Management, University of Pretoria, Hatfield, 0086, South Africa
2
School of Mechanical, Industrial and Aeronautical Engineering, University of the Witwatersrand, Johannesburg, Wits 2050, South Africa
3
CSIR, Manufacturing Cluster, Pretoria, 0001, South Africa
* Corresponding author: dineo.ramatlo@up.ac.za
A permanently installed Ultrasonic Broken Rail Detection system monitors the Sishen-Saldanha railway line in South Africa [1]. The system detects complete rail breaks at long-range using guided wave ultrasound. For the system to be reliable, its damage detection performance must be evaluated under actual environmental and operational conditions (EOCs). However, obtaining monitoring data containing damage reflections is virtually impossible since detected defects in operational rail track sections are immediately removed and replaced with new rail. Laboratory experiments are also not possible since end reflections from short sections of rail dominate the response. Therefore, damage signals can only practically be obtained from numerical simulations. The simulated damage signals should be realistic and include varying EOCs, especially temperature variations. This paper aims to demonstrate a procedure to model temperature variations in ultrasonic signals. The temperature model and the modelling framework developed in [2] are used to simulate reflections from welds. The framework models the excitation, propagation and scattering of GWs from discontinuities by employing a hybrid model based on the 3D Finite Element method and the 2D Semi-Analytical Finite Element method. The simulated results are validated using experimental measurements collected from an operational rail at different temperatures.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.