Objective
Limiting the climate change-induced temperature increase to less than 2°C will require strong reductions in greenhouse gas emissions. Lightweight materials and fibre-reinforced composites in particular, are a key enabling technology to achieve this goal. Current composite applications are however strongly overdesigned due to a lack of reliable design tools and predictive models for their mechanical properties. Developing, using and applying these models requires interdisciplinary researchers with a strong background in both modelling and experiments, but such researchers are scarce. The 9 beneficiaries and 3 partner organisations in FiBreMoD aim to train 13 such researchers to become multi-talented and interdisciplinary researchers that will be highly coveted in the field of composites. They will be intensively trained by leading experts with world-class facilities and will be supported by a strong industry participation and an extensive international network. The training programme places a strong emphasis on entrepreneurship and innovation skills not only by dedicated workshops but also by the involvement of the researchers in potential commercialisation. This approach will be key to improving the EU’s innovation capacity. Simultaneously, the researchers will advance state-of-the-art composite failure models to reach the required levels of accuracy and develop advanced and industry-friendly characterisation techniques for measuring the required input data. The goal will be to enable blind predictions, which means that parameter fitting or tuning of the models is no longer required. These new and unprecedented levels of understanding coupled with improved prediction accuracy will be exploited to (1) design novel microstructures for hybrid, hierarchical and discontinuous fibre composites and (2) increase the usefulness of models in practical composite applications. The developed models will be validated and used to design composite cylinders and automotive parts.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences economics and business business and management entrepreneurship
- engineering and technology materials engineering composites
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.1. - Fostering new skills by means of excellent initial training of researchers
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-ITN-ETN - European Training Networks
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-ITN-2016
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
3000 LEUVEN
Belgium
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.