Requirements for the application of the Digital Twin Paradigm to offshore wind turbine structures for uncertain fatigue analysis

• DOI: 10.1016/j.compind.2022.103806
• Publication Date: 2022-11-28T01:04:37Z
• Authors: Jack Jorgensen; Melinda Hodkiewicz; Edward Cripps; Ghulam Mubashar H...
• Keywords: Surrogate model; Uncertainty Quantification

The Digital Twin (DT) paradigm offers an extension of simulation model utility into the operational phase engineering asset. goal is a "twinned" with observed data that reflects actual performance However, exploring sources uncertainty for both physical asset and are challenge. For example, random metocean conditions, on parameters response behaviour offshore wind turbine (OWT) structures, contribute to predicted life under fatigue. In-service assessment OWT structures will benefit from twinning simulations data, where framework treat this defined. DT needs capture state, condition, level allows quantification propagation reliability analysis. Using DT, built fatigue bolted ring-flanges support paper explores challenges opportunities in defining uncertainties interest. We propagate these through coherent manner using Gaussian Process (GP) surrogate modelling approach, efficiently emulating computationally expensive numerical simulator. GP attractive method given computational efficiency, addition providing estimate prediction at unobserved points output space. use included within definition Surrogate including "fast" "slow" processes. define six requirements apply DTs which provide practical guidelines complex uncertainty.