Feasibility of modal expansion for virtual sensing in offshore wind jacket substructures

Augustyn, Dawid Jakub; Pedersen, Ronnie; Tygesen, Ulf T.; Ulriksen, Martin Dalgaard; Sørensen, John Dalsgaard

doi:10.1016/j.marstruc.2021.103019

Cited by 11 publications

(12 citation statements)

References 31 publications

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“…In this section, we exemplify how new information from digital twins can be included in the proposed framework to quantify uncertainty and subsequently update structural reliability for the particular case study. We use information from previously established digital twins [33,34]. The effect of structural dynamics uncertainty, X d , is investigated based on a model updating study presented in [33], where the soil stiffness, k s , was calibrated based on in situ measurements.…”

Section: Case Study Resultsmentioning

confidence: 99%

“…We simulate a numerical model of a 7 MW jacket-supported turbine using the procedure outlined by Nielsen et al [57] and applied by, e.g., Augustyn et al [34]. The simulation procedure consists of the following steps: (1) the substructure model and corresponding wave loading are reduced to a Craig-Bampton superelement [58] with 30 internal modes accounting for internal substructure dynamics.…”

Section: Modelingmentioning

confidence: 99%

“…The wind turbine model was originally developed for industrial purposes, where it was applied in commercial projects. A rather similar model (albeit a 5 MW turbine instead of 7 MW), which adheres to the same modeling principles, has been applied in other studies on structural dynamics of wind turbines [34,66].…”

Section: Wind Turbinementioning

confidence: 99%

“…Generally, the framework can be used for optimization of operation and maintenance of existing turbines and design of new structures. The framework is exemplified based on two numerical case studies, in which digital twins established in previous studies by the authors [33,34] are included.…”

Section: Introductionmentioning

confidence: 99%

“…If loading uncertainty is quantified based on information from digital twins, the main part of the uncertainty is related to obtaining the structural response due to external loading. This response is typically estimated based on virtual sensing methods, which are associated with uncertainties [34,45]. The loading uncertainty is included in (1) through the stochastic variable X l .…”

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confidence: 99%

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Reliability Updating of Offshore Wind Substructures by Use of Digital Twin Information

2021

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This paper presents a probabilistic framework for updating the structural reliability of offshore wind turbine substructures based on digital twin information. In particular, the information obtained from digital twins is used to quantify and update the uncertainties associated with the structural dynamics and load modeling parameters in fatigue damage accumulation. The updated uncertainties are included in a probabilistic model for fatigue damage accumulation used to update the structural reliability. The updated reliability can be used as input to optimize decision models for operation and maintenance of existing structures and design of new structures. The framework is exemplified based on two numerical case studies with a representative offshore wind turbine and information acquired from previously established digital twins. In this context, the effect of updating soil stiffness and wave loading, which constitute two highly uncertain and sensitive parameters, is investigated. It is found that updating the soil stiffness significantly affects the reliability of the joints close to the mudline, while updating the wave loading significantly affects the reliability of the joints localized in the splash zone. The increased uncertainty related to virtual sensing, which is employed to update wave loading, reduces structural reliability.

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Section: Case Study Resultsmentioning

confidence: 99%