The RIVERS project launched in May 2019 with the Université de Nantes and Siemens Gamesa has recently come to an end.


The main objective of this project was to study the feasibility of adapting and implementing a solution for structural health monitoring of a composite offshore wind turbine blade, based on the Digital Image Correlation (DIC) technique.


The mains results are as follows:

– Adaptation of DIC for the detection of defaults, automatic generation of alerts and real-time monitoring of defaults evolutions.

– Coupling of the DIC with a robotic acquisition system

– Transposition and application of DIC to a real & industrial case


Finally, these results provide Siemens Gamesa with solutions and prospects for monitoring structures in order to optimise and reduce maintenance operations costs, by relying on information acquired in real time rather than periodic preventive maintenance.

Furthermore, the elements developed during this project can be applied in other industrial sectors.


Discover the film on the project