Application of Structural Response Prediction Methods for Real Time Structural Health Monitoring of Multi-Linked Floating Offshore Structures

Abstract

Recently, the importance of renewable energy generation has been highlighted. Many of these systems are being installed offshore, where space utilization is more feasible. However, various environmental loads such waves, wind, and currents, and access is more difficult compared to onshore installations, resulting in high maintenance cost. Recently, research has been conducted on implementing digital twins. This involves synchronizing sensor data measured from actual operating structures with virtual models in real-time, allowing users to monitor desired responses and make quick maintenance decisions. It is crucial for virtual models to compute responses faster using real-time measurement data. In this study, fluid-structure coupled analysis was performed on multi-linked floating offshore structures. And then, transfer functions between sensors where significant stresses occur were calculated. These transfer functions were derived to predict structural responses using measured data obtained from model tests, and we validated the application of this prediction method. Furthermore, it was evaluated the performance of the prediction method by comparing its results with measured data.Ultimately, we confirmed predicting results with less than about 3% error compared to measured data.