An optimal condition based maintenance scheduling for metal structures based on a multidisciplinary research approach
An optimal condition based maintenance scheduling for metal structures based on a multidisciplinary research approach
Latest research findings show that the deterioration of metal coatings results due to complex combination of material and meteorological parameters. The classical maintenance scheduling do not consider complex interface of materials and meteorological parameters to determine optimal maintenance framework. The cost of recoating can be optimised through appropriate selection of coating specifications and maintenance strategy. This research provides a multidisciplinary algorithmic approach to determine cost-effective solutions for recoating. The specifications of red oxide primer coating and structural steel substrate system are considered for simulation analysis. The results show that the appropriate selection of 10% increase in coating thickness based on coating-substrate system specifications resulted in 20–25% reduction in annual patch failures which reduces 5–6% cost of recoating. Furthermore, the proposed model also simulated to compare Patch recoating and Part recoating strategy and algorithm show that the Part recoating is cost-effective as compared to Patch recoating if number of annual patch failure is greater than ‘2’ and area of the part is ‘2×’times larger than the area of the patch. Contrary, the Patch recoating results in low cost if the part area is ‘10×’ times larger than patch area and number of annual patch failures are less than ‘7’.
blistering, condition based maintenance, corrosion cost, maintenance strategy, predictive modelling, recoating cost, Structures
Latif, Jawwad
988e6bc1-56ac-4e83-963f-4f5849843b59
Khan, Zulfiqar A.
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Nazir, Mian H.
0d8520ce-8e45-4827-9ee4-ab20b92f9c5b
Stokes, Keith
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Smith, Richard
e8dd4a15-ae74-4a61-b68a-44e34c8d34c3
Latif, Jawwad
988e6bc1-56ac-4e83-963f-4f5849843b59
Khan, Zulfiqar A.
d6489c7a-6ebf-4b70-bb6e-c4a9dbcdae4c
Nazir, Mian H.
0d8520ce-8e45-4827-9ee4-ab20b92f9c5b
Stokes, Keith
5fb4e7f7-2f7e-4e6e-a045-6d7690626695
Smith, Richard
e8dd4a15-ae74-4a61-b68a-44e34c8d34c3
Latif, Jawwad, Khan, Zulfiqar A., Nazir, Mian H., Stokes, Keith and Smith, Richard
(2019)
An optimal condition based maintenance scheduling for metal structures based on a multidisciplinary research approach.
Structure and Infrastructure Engineering.
(doi:10.1080/15732479.2019.1621908).
Abstract
Latest research findings show that the deterioration of metal coatings results due to complex combination of material and meteorological parameters. The classical maintenance scheduling do not consider complex interface of materials and meteorological parameters to determine optimal maintenance framework. The cost of recoating can be optimised through appropriate selection of coating specifications and maintenance strategy. This research provides a multidisciplinary algorithmic approach to determine cost-effective solutions for recoating. The specifications of red oxide primer coating and structural steel substrate system are considered for simulation analysis. The results show that the appropriate selection of 10% increase in coating thickness based on coating-substrate system specifications resulted in 20–25% reduction in annual patch failures which reduces 5–6% cost of recoating. Furthermore, the proposed model also simulated to compare Patch recoating and Part recoating strategy and algorithm show that the Part recoating is cost-effective as compared to Patch recoating if number of annual patch failure is greater than ‘2’ and area of the part is ‘2×’times larger than the area of the patch. Contrary, the Patch recoating results in low cost if the part area is ‘10×’ times larger than patch area and number of annual patch failures are less than ‘7’.
Text
Optimal condition based maintenance
- Accepted Manuscript
More information
Accepted/In Press date: 15 February 2019
e-pub ahead of print date: 3 June 2019
Keywords:
blistering, condition based maintenance, corrosion cost, maintenance strategy, predictive modelling, recoating cost, Structures
Identifiers
Local EPrints ID: 432902
URI: http://eprints.soton.ac.uk/id/eprint/432902
ISSN: 1573-2479
PURE UUID: a4c04648-6cfa-4ed4-be28-25612d176fb0
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Date deposited: 31 Jul 2019 16:30
Last modified: 16 Mar 2024 08:00
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Contributors
Author:
Jawwad Latif
Author:
Zulfiqar A. Khan
Author:
Mian H. Nazir
Author:
Richard Smith
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