The ReliaBlade project’s Work Package 7 “Full-Scale Blade Testing” showcases the power of Digital Twin technology by demonstrating its predictability and efficiency. The project integrates experimental measurements and numerical simulations to construct a #DigitalTwin of wind turbine blade structures. This Twin can efficiently detect typical damage in large-scale structures and predict the growth of such damage in near real-time.
In the video, Xiao Chen, leader of ReliaBlade's Work Package 7 and Associate Professor at DTU Wind and Energy Systems, explains two key enabling technologies of a blade Digital Twin:
1️⃣ AQUADA, an automated damage inspection method of large-scale composite structures using thermography and computer vision. This method enables the ReliaBlade team to not only detect sub-surface damage but also estimate the damage growth and its severity in near real-time without stopping the blade test.
2️⃣ FASTIGUE, a #technology that combines two words - Fast and Fatigue - together. It can be used to simulate fatigue crack growth in large-scale composite structures very fast, even though the technology itself is based on finite element simulations and fracture mechanics.
ReliaBlade's Work Package 7 plans to test three 12m blades produced by Olsen Wings A/S and two 40m blades produced by Fraunhofer-Institut für Windenergiesysteme in full scale under combined bending and torsion in static tests and under bi-axial fatigue using exciters developed at DTU - Technical University of Denmark. During these tests, damage progress will be monitored, analyzed, and predicted.
To learn more about the capabilities of Digital Twin technology and Work Package 7 of ReliaBlade project, please visit the website: [ Ссылка ]
