dc.contributor.author | Rølvåg, Terje | |
dc.contributor.author | Alessandri, Giacomo | |
dc.contributor.author | Dos Santos Sousa Rodrigues, José Miguel | |
dc.contributor.author | Haugen, Bjørn | |
dc.date.accessioned | 2024-10-08T07:52:18Z | |
dc.date.available | 2024-10-08T07:52:18Z | |
dc.date.created | 2024-10-07T15:08:36Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Proceedings of the Thirty-fourth (2024) International Ocean and Polar Engineering Conference (ISOPE). ISOPE-I-24-103. | en_US |
dc.identifier.isbn | 978-1-880653-78-4 | |
dc.identifier.uri | https://hdl.handle.net/11250/3156842 | |
dc.description.abstract | The 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.iso | eng | en_US |
dc.publisher | International Society of Offshore and Polar Engineers | en_US |
dc.relation.ispartof | Proceedings of the Thirty-fourth (2024) International Ocean and Polar Engineering Conference - ISOPE 2024 | |
dc.relation.uri | https://doi.org/10.5281/zenodo.13619560 | |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Digital Twin supported Structural Health Monitoring of Test Rigs for Wave Energy Applications | en_US |
dc.title.alternative | Digital Twin supported Structural Health Monitoring of Test Rigs for Wave Energy Applications | en_US |
dc.type | Chapter | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | Author Accepted Manuscript (AAM). © The Authors. | en_US |
dc.source.journal | Proceedings of the Thirty-fourth (2024) International Ocean and Polar Engineering Conference (ISOPE). | en_US |
dc.identifier.cristin | 2310204 | |
dc.relation.project | EC/H2020/101007071 | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |