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Probabilistic decision basis and objectives for inspection planning and optimization
Date Issued
2018-10-31
Date Available
2019-05-22T10:13:39Z
Abstract
Marine and offshore engineering has long been challenged with the problem of structural integrity management (SIM) for assets such as ships and offshore platforms due to the harsh marine environments, where cyclic loading and corrosion are persistent threats to structural integrity. SIM for such assets is further complicated by the very large number of welded plates and joints, for which condition surveys by inspections and structural health monitoring become a difficult and expensive task. Structural integrity of such assets is also influenced by uncertainties associated with materials, loading characteristics, fatigue degradation model and inspection method, which have to be accounted for. Therefore, managing these uncertainties and optimizing the inspection and repair activities are relevant to improvements in SIM. This paper addresses probabilistic inspection planning and optimization by comparative analysis for a typical fatigue-prone structural detail based on reliability, life cycle cost (LCC) and value of inspection information (VoI). With the objective of clarifying the differences between the theoretical basis and objectives for probabilistic inspection optimization, three maintenance strategies for the structural detail are proposed and studied. It is found that different optimal inspection times are obtained with the objectives of reliability maximization, LCC minimization and VoI maximization. Also, planned inspection and repair can help to achieve higher reliability with fewer repairs than repair without inspection (i.e. time-based replacement). If the cost of unit inspection and repair is not negligible compared with failure consequence, it is suggested to employ the optimization objective of life cycle cost minimization, which considers the costs of SIM. The paper proposes a simple approach for quantifying the VoI, based on life cycle cost analysis for the three maintenance strategies. It is concluded that the VoI is relevant to both the optimal maintenance decision with and without inspection.
Sponsorship
European Commission Horizon 2020
Type of Material
Conference Publication
Publisher
Taylor & Francis
Series
Life-Cycle of Civil Engineering Systems Series
Web versions
Language
English
Status of Item
Peer reviewed
Part of
Caspeele, R., Taerwe, L., Frangopol, D.M. (eds.). Life Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision: Proceedings of the Sixth International Symposium on Life-Cycle Civil Engineering (IALCCE 2018), 28-31 October 2018, Ghent, Belgium
Conference Details
IALCCE 2018: 6th International Symposium on Life-Cycle Civil Engineering, Ghent, Belgium, 28-31 October 2018
ISBN
9781138626331
This item is made available under a Creative Commons License
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Zou_etal_2018_Probabilistic decision basis and objectives for inspection planning and optimization.pdf
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