Abstract
The work presents an overview of experiments carried out on an out-of-service steel railway bridge, the so called Pinkabach bridge. The objective was to test advanced and novel sensor systems, i.e. Distributed Fiber Optic Sensing (DFOS) and Acoustic Emission (AE), for the monitoring of fatigue cracks, both for crack initiation and subsequent crack growth, in steel railway bridges. Also, sensor systems for overall system identification, i.e. Tiny Motion (TM), Distributed Acoustic Sensing (DAS) and dynamic response analysis, have been tested. By harmonic excitation of the structure at its first resonance frequency, cyclic stress levels comparable to the stress levels during train passage were generated and it was possible to emulate the fatigue load from decades of train traffic within the limited period of the experiments. Crack initiation and growth happened at two locations of the flanges and crack growth was monitored till the crack length reached the web of the main girder, i.e. was half of the flange width. To end the experiments a static load test showed the remaining capacity of the damaged structure.
Original language | English |
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DOIs | |
Publication status | Published - 2024 |
Event | 11th European Workshop on Structural Health Monitoring: EWSHM 2024 - Potsdam, Germany Duration: 10 Jun 2024 → 13 Jun 2024 |
Conference
Conference | 11th European Workshop on Structural Health Monitoring |
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Country/Territory | Germany |
City | Potsdam |
Period | 10/06/24 → 13/06/24 |
Keywords
- Cracks
- Destructive testing
- Distributed fibre optic sensing (DFOS)
- Fatigue
- Harmonic Excitation
- Railway
- Tiny motions
ASJC Scopus subject areas
- Computer Science Applications
- Health Information Management