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dc.contributor.authorRølvåg, Terje
dc.contributor.authorAlessandri, Giacomo
dc.contributor.authorDos Santos Sousa Rodrigues, José Miguel
dc.contributor.authorHaugen, Bjørn
dc.date.accessioned2024-10-08T07:52:18Z
dc.date.available2024-10-08T07:52:18Z
dc.date.created2024-10-07T15:08:36Z
dc.date.issued2024
dc.identifier.citationProceedings of the Thirty-fourth (2024) International Ocean and Polar Engineering Conference (ISOPE). ISOPE-I-24-103.en_US
dc.identifier.isbn978-1-880653-78-4
dc.identifier.urihttps://hdl.handle.net/11250/3156842
dc.description.abstractThe objective of this paper is to document the development and application process of a generic Digital Twin (DT) test rig model for Structural Health Monitoring (SHM). The test rig used for Wave Energy Converter (WEC) component testing is represented by a Component Mode Synthesis (CMS) reduced assembly FEM applicable to real time execution. The Finite Element (FE) simulation model can be exported as a Digital Twin model through a Functional Mockup Unit (FMU) to the digital framework for Dual Hardware in the Loop (DHIL) simulations. The simulation model is also used to generate a Reduced Order Model (ROM). A digital framework can be configured to simultaneously execute and sample data from physical and virtual FMU/ROM sensors on the WEC test rig during tests. The digital twin model can run in both real time and off-line mode. In real time mode, the physical test rig excitations are sampled and streamed to the digital twin model using open software solutions. Real-time stress and fatigue analysis for the selected load cases can be conducted using virtual strain gauges located at hot spots and identified by a virtual brittle lacquer technique. The streamed data is also buffered and stored on (csv) files for later digital twin off-line execution. The digital framework supporting data sampling, visualization, analytics, event handling, anomaly detection and digital twin execution is based on open-source Python and Streamlit scripts. The digital twin model is prepared and executed by the open-source FEDEM software [Stranden Ø. et al.,2023)] based on both live streaming and historical data. A new two-step FMU and ROM process is developed and applied for DHIL execution.en_US
dc.language.isoengen_US
dc.publisherInternational Society of Offshore and Polar Engineersen_US
dc.relation.ispartofProceedings of the Thirty-fourth (2024) International Ocean and Polar Engineering Conference - ISOPE 2024
dc.relation.urihttps://doi.org/10.5281/zenodo.13619560
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleDigital Twin supported Structural Health Monitoring of Test Rigs for Wave Energy Applicationsen_US
dc.title.alternativeDigital Twin supported Structural Health Monitoring of Test Rigs for Wave Energy Applicationsen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.rights.holderAuthor Accepted Manuscript (AAM). © The Authors.en_US
dc.source.journalProceedings of the Thirty-fourth (2024) International Ocean and Polar Engineering Conference (ISOPE).en_US
dc.identifier.cristin2310204
dc.relation.projectEC/H2020/101007071en_US
cristin.ispublishedtrue
cristin.fulltextpostprint


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