The FiBreMoD consortium is proud of the accomplishments its fellows achieved. They have advanced the state-of-the-art composite models to higher levels of accuracy and developed industry-friendly characterisation techniques for measuring input data. The models allow objective predictions, where parameter fitting or tuning of the models is no longer required. With these developments the network staged the 2nd international benchmarking exercise where several external collaborators joined the effort. This benchmarking initiative, which is now finalized, compared predictive capabilities of different models. It used a unique set of material data acquired in the project. The results of this collaborative effort are to appear in two journal articles and the data will be openly available to the community.
FiBreMoD’s research network has proven to be successful in ensuring maximal interactions between partners and providing a holistic approach to achieving its goals. The early-stage researchers and their colleagues produced several innovative results. These include unique data sets for properties of composite constituents, multi-scale models suitable for industrial use, new approaches to account for the presence of defects and time and temperature dependent effects, models to predict the behavior under cyclic loading and high-fidelity ultrafast in-situ computed tomography methodologies for validation of the models. These advances have been applied to design hybrid, bio-inspired and discontinuous fibre composites, as well as practical applications such as pressure vessels for hydrogen storage and automotive parts in direct collaboration with industry.
A patent to protect a novel concept for a bio-inspired composite material has been filed.
