Abstract
This paper presents recent advances in our understanding of the relationship between fatigue crack growth rate and the corresponding acoustic emission activity in R260 steel used in manufacturing of plain rails. The acoustic emission (AE) monitoring technique offers the potential to enhance existing structural health evaluation techniques based on conventional inspection methods currently used in the rail industry. AE can provide information regarding the structural health of rails without requiring continuous access to the rail network. In this way the disruption on normal railway operations arising from structural health evaluation intervention can be minimised, maximising the capacity and availability of already busy railway routes. The use of AE monitoring to locate propagating fatigue cracks has been widely reported. The present work focuses particularly on the monitoring of crack growth behaviour and evaluation of its severity. This is achieved by simulating actual fatigue conditions experienced by rails under loading, and subsequent analysis of the AE signals generated. The results discussed in the present study show a clear change in signal response with increasing crack length, particularly with respect to the AE energy. The changes identified in the AE activity generated confirm the potential of AE as an effective technique for the enhancement of structural health monitoring (SHM) for monitoring rails.
| Original language | English |
|---|---|
| Pages (from-to) | 403-406 |
| Number of pages | 4 |
| Journal | Proceedings of the International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII |
| Volume | 2021 |
| Publication status | Published - 23 Nov 2021 |
| Event | 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2021 - Porto, Portugal Duration: 30 Jun 2021 → 2 Jul 2021 Conference number: 10 http://www.fe.up.pt/shmii10 |
Bibliographical note
Publisher Copyright:© 2021 International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII. All rights reserved.
Keywords
- Acoustic emission
- Fatigue
- Infrastructure
- Rail
- Remote condition monitoring
- Structural health monitoring
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems and Management
- Civil and Structural Engineering
- Building and Construction