Geo-mapping atmospheric corrosion in Mauritius
Geo-mapping atmospheric corrosion in Mauritius
The complexity of atmospheric corrosion prediction in Mauritius, due to the influence of trade winds and mountainous landscapes, presents a hurdle in building a more resilient infrastructural system. In the absence of a corrosion map, the corrosion rate at a specific location is difficult to estimate. To achieve the UN Sustainable Development Goal 9 (Industry, Innovation and Infrastructure), an attempt is made to map the corrosivity of the whole country through regression modelling techniques and consideration of the factors affecting corrosion behaviour in the region. Previous field tests have recently been complemented with additional outdoor exposures to give a whole picture of the corrosivity of the Mauritian atmosphere. In this study, the relevant environmental data and known corrosion rates of carbon steel in specific locations are used to develop a corrosion map of the island as a vector data model depicting zones of specific ISO 9223 corrosivity categories.
Atmospheric corrosion < Corrosion Phenomena, Carbon steel < Materials (substrates), Corrosion in marine environments < Corrosion Phenomena, Corrosion modelling < Techniques, Corrosion rate < Properties, Carbon steel, Corrosion in marine environments, Corrosion Phenomena,, Corrosion modelling, Corrosion rate
Seechurn, Yashwantraj
25b027fb-7a6c-4b86-ba1a-b8cfb9e609f4
Wharton, Julian A.
965a38fd-d2bc-4a19-a08c-2d4e036aa96b
Surnam, Baboo Yashwansingh R.
12d78d4e-dcee-45c4-98fc-1c0ef284a82c
Seechurn, Yashwantraj
25b027fb-7a6c-4b86-ba1a-b8cfb9e609f4
Wharton, Julian A.
965a38fd-d2bc-4a19-a08c-2d4e036aa96b
Surnam, Baboo Yashwansingh R.
12d78d4e-dcee-45c4-98fc-1c0ef284a82c
Seechurn, Yashwantraj, Wharton, Julian A. and Surnam, Baboo Yashwansingh R.
(2024)
Geo-mapping atmospheric corrosion in Mauritius.
Corrosion Engineering, Science and Technnology.
(doi:10.1177/1478422X241285290).
Abstract
The complexity of atmospheric corrosion prediction in Mauritius, due to the influence of trade winds and mountainous landscapes, presents a hurdle in building a more resilient infrastructural system. In the absence of a corrosion map, the corrosion rate at a specific location is difficult to estimate. To achieve the UN Sustainable Development Goal 9 (Industry, Innovation and Infrastructure), an attempt is made to map the corrosivity of the whole country through regression modelling techniques and consideration of the factors affecting corrosion behaviour in the region. Previous field tests have recently been complemented with additional outdoor exposures to give a whole picture of the corrosivity of the Mauritian atmosphere. In this study, the relevant environmental data and known corrosion rates of carbon steel in specific locations are used to develop a corrosion map of the island as a vector data model depicting zones of specific ISO 9223 corrosivity categories.
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Accepted/In Press date: 4 September 2024
e-pub ahead of print date: 28 September 2024
Keywords:
Atmospheric corrosion < Corrosion Phenomena, Carbon steel < Materials (substrates), Corrosion in marine environments < Corrosion Phenomena, Corrosion modelling < Techniques, Corrosion rate < Properties, Carbon steel, Corrosion in marine environments, Corrosion Phenomena,, Corrosion modelling, Corrosion rate
Identifiers
Local EPrints ID: 496870
URI: http://eprints.soton.ac.uk/id/eprint/496870
ISSN: 1478-422X
PURE UUID: cb614d20-0cad-48da-8a1d-c9d33a3286cf
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Date deposited: 08 Jan 2025 11:25
Last modified: 16 Jan 2025 02:36
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Author:
Yashwantraj Seechurn
Author:
Baboo Yashwansingh R. Surnam
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