Print Email Facebook Twitter Quantifying uncertainties for Risk-Based Inspection planning using in-service Hull Structure Monitoring of FPSO hulls Title Quantifying uncertainties for Risk-Based Inspection planning using in-service Hull Structure Monitoring of FPSO hulls Author Hageman, R.B. (Maritime Research Institute Netherlands (MARIN)) van der Meulen, F.H. (TU Delft Statistics) Rouhan, A. (Bureau Veritas Marine & Offshore) Kaminski, M.L. (TU Delft Ship Hydromechanics and Structures) Date 2022 Abstract In order to obtain valuable information from an Hull Structure Monitoring system, a large data set and consistent analysis of that data is required. The monitoring requires significant efforts over multiple years and as a result, uncertainties obtained from in-service measurements are rarely published. Instead, researchers have to rely on numerical simulations and conjecture to quantify certain parameters. In this article, two years of continuous monitoring data is used to quantify several sources of uncertainties of the hull structure of an FPSO. These sources include uncertainty related to the future extrapolation of loads and statistical uncertainty of the long-term sea states which is quantified using a Bayesian re-sampling scheme. Next, the uncertainty introduced through the use of analytical load distribution models is addressed. Finally, the uncertainty in the calculation method is quantified. These data are then used in a case study for the particular FPSO which has been monitored to demonstrate their practical application using a simple reliability model. Multiple stochastic models for the long-term description of loads are examined. Besides the traditional Weibull model, the less frequently used Pareto, Lognormal and Gumbel model were tested and compared against an uncertainty modal based on a spectral fatigue assessment. The Pareto and Weibull models are considered appropriate models and were compared against design stage analyses. Good design procedures adopt conservative parameters to describe the uncertainties. In the presented example, this was found to be true and therefore the inclusion of measurement data in Risk Based Inspection analysis for the presented case results in prolongation of the inspection interval. Subject FatigueFPSOHull Structure MonitoringRisk-Based InspectionUncertainties To reference this document use: http://resolver.tudelft.nl/uuid:86d5ecdc-5bfe-4725-ab8d-45f9a514eb09 DOI https://doi.org/10.1016/j.marstruc.2021.103100 Embargo date 2023-07-01 ISSN 0951-8339 Source Marine Structures, 81, 1-19 Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2022 R.B. Hageman, F.H. van der Meulen, A. Rouhan, M.L. Kaminski Files PDF 1_s2.0_S0951833921001532_main.pdf 1.22 MB Close viewer /islandora/object/uuid:86d5ecdc-5bfe-4725-ab8d-45f9a514eb09/datastream/OBJ/view