2026-04-17T05:17:47Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/4487842026-01-29T02:22:16Zcom_2072_1033col_2072_452950

urn:hdl:2117/448784 Real-time digital twin for structural health monitoring of floating offshore wind turbines Pastor Sánchez, Andrés García Espinosa, Julio Capua, Daniel di Serván Camas, Borja Berdugo Parada, Irene Àrees temàtiques de la UPC::Energies::Energia eòlica::Aerogeneradors Digital twin Floating offshore wind turbine IoT platform Reduced-order models (ROMs) Modal response amplitude operators (MRAOs) Real-time structural response Fatigue analysis Digital twins (DTs) offer significant promise for condition-based maintenance of floating offshore wind turbines (FOWTs); however, existing solutions typically compromise either on physical rigor or real-time computational performance. This paper presents a real-time DT framework that resolves this trade-off by embedding a hydro-elastic reduced-order model (ROM) that accurately captures structural dynamics and fluid–structure interaction. Integrated in a cloud-ready Internet of Things architecture, the ROM reconstructs full-field displacements, von Mises stresses, and fatigue metrics with near real-time responsiveness. Validation on the 5 MW OC4-DeepCWind semi-submersible platform shows that the ROM reproduces finite-element (FEM) displacements and stresses with relative errors below 1%. A three-hour load case is solved in 0.69 min for displacements and 3.81 min for stresses on a consumer-grade NVIDIA RTX 4070 Ti GPU—over two orders of magnitude faster than the full FEM model—while one million fatigue stress histories (1000 hotspots × 1000 operating scenarios) are processed in 37 min. This efficiency enables continuous structural monitoring, rapid *what-if* assessments and timely decision-making for targeted inspections and adaptive control. By effectively combining physics-based reduced-order modeling with high-throughput computation, the proposed framework overcomes key barriers to DT deployment: computational overhead, physical fidelity and scalability. Although demonstrated on a steel platform, the approach is readily extensible to composite structures and multi-turbine arrays, providing a robust foundation for cost-effective and reliable deep-water wind-energy operations. Postprint (published version) 2025-10-01 Article https://www.mdpi.com/2077-1312/13/10/1953 http://creativecommons.org/licenses/by/4.0/ Open Access Attribution 4.0 International Multidisciplinary Digital Publishing Institute (MDPI)