Temperature-based damage detection for the commissioning dataset of the MX3D Bridge
File(s)
Published version
Author(s)
Glashier, Theo
Kromanis, Rolands
Buchanan, Craig
Type
Conference Paper
Abstract
Environmental and operational variations (EOV) remain a major obstacle for the successful transfer of structural health monitoring (SHM) techniques from laboratory experiments, such as cracked beam experiments, to full-scale structures, such as long-span bridges. With evidence that timely interventions significantly increase the service-life and reduce the overall life-cycle cost of ageing infrastructure, carrying out SHM in the presence of EOV, such as temperature, is therefore of high priority within the civil engineering community. The temperature-based measurement-interpretation (TB-MI) approach was developed to monitor the thermal response of an instrumented structure and detect changes linked to damage by minimising the impact that temperature variations have on anomaly detection techniques. The iterative regression-based thermal response prediction (IRBTRP) methodology is utilised in the TB-MI approach, and is trained on the healthy condition of the bridge to predict its undamaged response to temperature fluctuations. Thermal response predictions are compared to the measured response and deviations between them are indicative of a variation in the thermal response, due to structural change such as damage. Small deviations can then be identified using anomaly detection techniques, which results in earlier damage detection than if thermal response predictions had not been used. The TB-MI approach and the IRBTRP methodology have been applied to detect damage on the MX3D Bridge, the world’s first structure produced through metal additive manufacturing (i.e. 3D printing). This study demonstrates that the use of the TB-MI approach enables earlier and more widespread damage detection amongst multiple sensor groups, compared to when no temperature effects are considered. The adoption of the TB-MI approach can therefore greatly increase the reliability of and our reliance on SHM techniques for critical infrastructure.
Date Issued
2024-07-01
Date Acceptance
2024-01-24
Citation
Proceedings of the 11th European Workshop on Structural Health Monitoring (EWSHM 2024), June 10-13, 2024, 2024, 29 (7)
ISSN
1435-4934
Publisher
NDT.net
Journal / Book Title
Proceedings of the 11th European Workshop on Structural Health Monitoring (EWSHM 2024), June 10-13, 2024
Volume
29
Issue
7
Copyright Statement
© 2024 The Authors under License CC-BY-4.0 (https://creativecommons.org/licenses/by/4.0/)
License URL
Source
European Workshop on Structural Health Monitoring (EWSHM)
Publication Status
Published
Start Date
2024-06-10
Finish Date
2024-06-13
Coverage Spatial
Postdam, Germany