The University of Southampton
University of Southampton Institutional Repository

Condition monitoring and predictive modelling of coating delamination applied to remote stationary and mobile assets

Condition monitoring and predictive modelling of coating delamination applied to remote stationary and mobile assets
Condition monitoring and predictive modelling of coating delamination applied to remote stationary and mobile assets

The ambiguous nature of meteorological parameters in uncontrolled environmental conditions makes it difficult to determine the structural integrity of stationary and mobile assets. The weather conditions for large vehicles, at The Tank Museum at Bovington, UK, which are operating in controlled and uncontrolled environmental conditions are investigated through weather history and corrosion monitoring techniques applied to large military vehicles by using linear polarisation resistance method. Corrosion initiation and propagation was found on several occasions during the operation of large vehicles within uncontrolled environment due to critical level of metrological parameters including salinity, relative humidity and rainfall. Comprehensive solutions have been proposed to detect damage initiation at the earliest possible stage to prompt maintenance professionals to take necessary actions to avoid damage. Early detection techniques will help to prolong the service life of large vehicles or metal structures which are operating or installed remotely. The analysis of diffusion of salt particles into coating during summer and winter season is also presented by estimating the salt concentration by taking linear relationship between wind speed and salt deposition rate based on ISO classification of airborne salinity. The proposed solutions can be applied to valuable assets operating in coastal, non-coastal and near the sea regions to predict and estimate the damage. The research will directly impact the maintenance and reliability of the automotive, oil and gas pipelines, aerospace and defence applications through remote condition monitoring technique.

coating delamination, condition monitoring, Corrosion, diffusion, predictive modelling
1475-9217
Latif, Jawwad
988e6bc1-56ac-4e83-963f-4f5849843b59
Khan, Zulfiqar Ahmad
d6489c7a-6ebf-4b70-bb6e-c4a9dbcdae4c
Nazir, Mian H.
0d8520ce-8e45-4827-9ee4-ab20b92f9c5b
Stokes, Keith
5fb4e7f7-2f7e-4e6e-a045-6d7690626695
Plummer, Joseph
5839d488-f346-4741-b757-9ecf30777938
Latif, Jawwad
988e6bc1-56ac-4e83-963f-4f5849843b59
Khan, Zulfiqar Ahmad
d6489c7a-6ebf-4b70-bb6e-c4a9dbcdae4c
Nazir, Mian H.
0d8520ce-8e45-4827-9ee4-ab20b92f9c5b
Stokes, Keith
5fb4e7f7-2f7e-4e6e-a045-6d7690626695
Plummer, Joseph
5839d488-f346-4741-b757-9ecf30777938

Latif, Jawwad, Khan, Zulfiqar Ahmad, Nazir, Mian H., Stokes, Keith and Plummer, Joseph (2018) Condition monitoring and predictive modelling of coating delamination applied to remote stationary and mobile assets. Structural Health Monitoring. (doi:10.1177/1475921718773524).

Record type: Article

Abstract

The ambiguous nature of meteorological parameters in uncontrolled environmental conditions makes it difficult to determine the structural integrity of stationary and mobile assets. The weather conditions for large vehicles, at The Tank Museum at Bovington, UK, which are operating in controlled and uncontrolled environmental conditions are investigated through weather history and corrosion monitoring techniques applied to large military vehicles by using linear polarisation resistance method. Corrosion initiation and propagation was found on several occasions during the operation of large vehicles within uncontrolled environment due to critical level of metrological parameters including salinity, relative humidity and rainfall. Comprehensive solutions have been proposed to detect damage initiation at the earliest possible stage to prompt maintenance professionals to take necessary actions to avoid damage. Early detection techniques will help to prolong the service life of large vehicles or metal structures which are operating or installed remotely. The analysis of diffusion of salt particles into coating during summer and winter season is also presented by estimating the salt concentration by taking linear relationship between wind speed and salt deposition rate based on ISO classification of airborne salinity. The proposed solutions can be applied to valuable assets operating in coastal, non-coastal and near the sea regions to predict and estimate the damage. The research will directly impact the maintenance and reliability of the automotive, oil and gas pipelines, aerospace and defence applications through remote condition monitoring technique.

Full text not available from this repository.

More information

Accepted/In Press date: 1 June 2018
e-pub ahead of print date: 12 June 2018
Keywords: coating delamination, condition monitoring, Corrosion, diffusion, predictive modelling

Identifiers

Local EPrints ID: 424821
URI: http://eprints.soton.ac.uk/id/eprint/424821
ISSN: 1475-9217
PURE UUID: 9cdf3760-5217-4d07-b31d-a48c3b68d2f4

Catalogue record

Date deposited: 05 Oct 2018 11:48
Last modified: 15 Jan 2020 17:38

Export record

Altmetrics

Contributors

Author: Jawwad Latif
Author: Zulfiqar Ahmad Khan
Author: Mian H. Nazir
Author: Keith Stokes
Author: Joseph Plummer

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×