Probabilistic maintenance optimization with respect to inspection quality

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Title: Probabilistic maintenance optimization with respect to inspection quality
Authors: Zou, GuangBanisoleiman, KianGonzález, Arturo
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Date: 12-Sep-2018
Online since: 2018-11-27T09:39:40Z
Abstract: Maintenance scheduling and optimization against fatigue failures is of great interest for marine and offshore engineering in terms of safety assurance, integrity management and cost control. The main challenge is to make risk-informed and optimal maintenance decisions taking into account uncertainties associated with material properties, fatigue loads, modelling, inspection and maintenance methods. While optimization of inspection times has been the objectives of many studies, the influence and optimization of inspection qualities is not very clear. This paper has applied probabilistic fracture mechanics and reliability/risk methods to optimization of inspection quality as well as inspection time and revealed the effect of inspection quality on lifetime fatigue reliability. It is found that there is a reliability-based optimum inspection quality for maintenance scheduling, which is different from the cost-based optimum one. Better inspection quality than the optimum one can lead to excessive maintenance, which occurs when the effect of maintenance is not good, and the inspection quality applied is very good. Excessive maintenance can lead to increase of both expected failure costs and maintenance costs, and thus should be avoided.
Funding Details: European Commission Horizon 2020
Type of material: Conference Publication
Keywords: Probabilistic maintenance optimizationInspection qualityFatigue modelling
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Language: en
Status of Item: Peer reviewed
Is part of: Proceedings of the 16th International Probabilistic Workshop (IPW 2018)
Conference Details: The 16th International Probabilistic Workshop (IPW2018), Vienna, Austria, 12-14 September 2018
Appears in Collections:Critical Infrastructure Group Research Collection
Earth Institute Research Collection
Civil Engineering Research Collection
TRUSS-ITN Research Collection

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