Digital Twin-Based Smart Monitoring of Jacket-Type Offshore Wind Towers: Integrating Finite Element Analysis, Artificial Intelligent, and Physics Engine Software

This study develops an integrated simulation and structural health monitoring (SHM) technique for a 15 MW jacket-type offshore wind turbine. Aero-hydro-servo-elastic time-domain analysis was conducted using the commercial software OrcaFlex, and the generated simulation data were employed to train AI-based algorithms for real-time predictive monitoring. These algorithms allow the estimation of unmeasured structural responses, while a digital twin hub developed with Unity provides visualization and system integration. The platform supports real-time structural analysis, visualization, and stress estimation, enabling field engineers to effectively assess the jacket’s structural condition.