Structural Monitoring System for proactive detection of corrosion and coating failure
Structural Monitoring System for proactive detection of corrosion and coating failure
The performance and availability of high priority structures can be greatly affected by corrosion damage. The application of protective coatings, frequent inspections and scheduled based maintenance activities result in huge direct and indirect financial loss to organisations. The expeditious detection of coating failure and corrosion damage can result in precise and cost-effective condition-based maintenance. Coating failure and corrosion phenomena are driven by complex multi-disciplinary parameters according to extensive research findings in the literature. State-of-the-art prognostic models proposed in recent years incorporate complex multi-disciplinary parameters, therefore a real-time prognostic monitoring system must acquire these complex parameters to allow accurate prediction. The work reported here covers the development of a real-time monitoring system using micro-sensors and includes the validation of the system through accelerated corrosion and coating failure testing. The system contains a remote terminal unit that includes a linear polarisation method for corrosion detection under the coating and a micro-strain gauge method for monitoring stress behaviour over the coating. The software at base station includes a graphical user interface and database to store parameters for further processing and failure prediction. The real-time monitoring system can be applied to remote, stationary and mobile assets to monitor the mechanical and chemical changes within coating-substrate systems.
corrosion sensing, military vehicles, structural monitoring, condition monitoring, coating breakdown
Latif, Jawwad
988e6bc1-56ac-4e83-963f-4f5849843b59
Khan, Zulfiqar Ahmad
d6489c7a-6ebf-4b70-bb6e-c4a9dbcdae4c
Stokes, Keith
5fb4e7f7-2f7e-4e6e-a045-6d7690626695
Latif, Jawwad
988e6bc1-56ac-4e83-963f-4f5849843b59
Khan, Zulfiqar Ahmad
d6489c7a-6ebf-4b70-bb6e-c4a9dbcdae4c
Stokes, Keith
5fb4e7f7-2f7e-4e6e-a045-6d7690626695
Latif, Jawwad, Khan, Zulfiqar Ahmad and Stokes, Keith
(2019)
Structural Monitoring System for proactive detection of corrosion and coating failure.
Sensors and Actuators A: Physical, [111693].
(doi:10.1016/j.sna.2019.111693).
Abstract
The performance and availability of high priority structures can be greatly affected by corrosion damage. The application of protective coatings, frequent inspections and scheduled based maintenance activities result in huge direct and indirect financial loss to organisations. The expeditious detection of coating failure and corrosion damage can result in precise and cost-effective condition-based maintenance. Coating failure and corrosion phenomena are driven by complex multi-disciplinary parameters according to extensive research findings in the literature. State-of-the-art prognostic models proposed in recent years incorporate complex multi-disciplinary parameters, therefore a real-time prognostic monitoring system must acquire these complex parameters to allow accurate prediction. The work reported here covers the development of a real-time monitoring system using micro-sensors and includes the validation of the system through accelerated corrosion and coating failure testing. The system contains a remote terminal unit that includes a linear polarisation method for corrosion detection under the coating and a micro-strain gauge method for monitoring stress behaviour over the coating. The software at base station includes a graphical user interface and database to store parameters for further processing and failure prediction. The real-time monitoring system can be applied to remote, stationary and mobile assets to monitor the mechanical and chemical changes within coating-substrate systems.
Text
SHM_revised_accepted version_221019
- Accepted Manuscript
More information
Accepted/In Press date: 22 October 2019
e-pub ahead of print date: 15 November 2019
Keywords:
corrosion sensing, military vehicles, structural monitoring, condition monitoring, coating breakdown
Identifiers
Local EPrints ID: 436122
URI: http://eprints.soton.ac.uk/id/eprint/436122
ISSN: 0924-4247
PURE UUID: d3b71c1a-c1f4-47d6-990b-77184010740b
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Date deposited: 29 Nov 2019 17:30
Last modified: 17 Mar 2024 05:05
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Author:
Jawwad Latif
Author:
Zulfiqar Ahmad Khan
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