Abstract
Achieving and maintaining a suitable level of bolt pre-load is critical to ensure structural reliability under the Fatigue Limit State for bolted ring-flanges in offshore wind turbine structures. Bolt pre-load is likely to vary over lifetime, with re-Tensioning applied if relaxation exceeds design guideline allowance. An approach to assess the influence of varying bolt pre-load may be useful in the operational context. Recent work has demonstrated the suitability of a Gaussian Process surrogate model to emulate Finite Element Method structural simulations models of bolted ring-flanges, with computational efficiency gains. In this paper we predict cumulative fatigue damage in bolts over time, given uncertainty in bolt pre-load estimation, using a Gaussian Process surrogate model. We perform Structural Reliability Analysis to deliver approximations of annual Probability of Failure and the Reliability Index, under the Fatigue Limit State. Our approximations are compared to targets defined in relevant design standards. Furthermore, we incorporate observations, and maintenance actions, in updating the Structural Reliability Analysis during operation, and suggest practical applications of this method to inform inspection and maintenance practices.
| Original language | English |
|---|---|
| Title of host publication | Ocean Renewable Energy |
| Place of Publication | USA |
| Publisher | ASME International |
| ISBN (Electronic) | 9780791885932 |
| DOIs | |
| Publication status | Published - Oct 2022 |
| Event | ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2022 - Hamburg, Germany Duration: 5 Jun 2022 → 10 Jun 2022 |
Publication series
| Name | Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE |
|---|---|
| Volume | 8 |
Conference
| Conference | ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2022 |
|---|---|
| Country/Territory | Germany |
| City | Hamburg |
| Period | 5/06/22 → 10/06/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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Finite Element Method Numerical Simulation results for analysis of Segment Model of Bolted Ring Flange
Jorgensen, J. (Creator), Hodkiewicz, M. (Contributor), Cripps, E. (Contributor) & Hassan, G. M. (Contributor), The University of Western Australia, 22 Dec 2022
DOI: 10.26182/31hp-td58, https://publiclargefiles.it.uwa.edu.au/public/CENTRAL-RPDS_REPOSITORY_LARGE_DATA_ACCESS-001/JJorgensen/Bolted_Flange_FEA.zip
Dataset
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Fatigue analysis under uncertainty of bolted ring-flanges in offshore wind turbine support structures using surrogate models
Jorgensen, J., 2024, (E-pub ahead of print) 259 p.Research output: Thesis › Doctoral Thesis
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Probabilistic assessment of the effect of bolt pre-load loss over time in offshore wind turbine bolted ring-flanges using a gaussian process surrogate model
Jorgensen, J., Hodkiewicz, M., Cripps, E. & Hassan, G. M., Oct 2022, Ocean Renewable Energy. USA: ASME International, V008T09A034. (Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE; vol. 8).Research output: Chapter in Book/Conference paper › Conference paper › peer-review
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