Project description
Researchers solving complex fracture problems in heterogenous systems
Thirteen early-stage researchers will be selected for a high-level doctoral training programme offered by the EU-funded NEWFRAC project. With a consortium of seven university research teams and five high-tech companies, the young researchers will become experts in fracture prediction in heterogenous systems. They will develop new failure-predictive computational tools and will beneficiate from a strong academia-industry collaboration framework. They will also apply these tools to relevant problems in strategic industrial sectors like energy, health and transport. The NEWFRAC project will integrate two new strategies for computational fracture modelling: the finite fracture mechanics and the phase field model of fracture to solve wide-ranging interconnected fundamental issues of fracture modelling such as crack initiation and propagation interacting with interfaces in ultra-thin ply composites, curved laminates and their joints, injection molded fibre reinforced plastics, thermoplastics, layered ceramics, photovoltaics and human bones.
Objective
The training network NEWFRAC is a leading European research consortium composed by eight top university research teams and five high-tech companies. The high-level doctoral training offered by NEWFRAC to thirteen creative, entrepreneurial and innovative early-stage researchers is focused on new strategies for prediction and analysis of multi-field fracture phenomena in heterogeneous engineering systems at different scales. These researchers are developing new failure-predictive computational tools and apply them to relevant problems in strategic industrial sectors like Energy, Health and Transport. Their individual research projects address most relevant questions of current interest in failure prediction in heterogeneous systems, that will generate high-impact research outputs which go beyond the current state of the art in fracture modelling. To this aim, NEWFRAC integrates two new strategies for computational fracture modelling: Finite Fracture Mechanics and a variational approach to fracture referred to as Phase Field, and solves wide-ranging interconnected fundamental issues of fracture modelling like: fragmentation and dynamic crack propagation, toughening composites by micro- and meso-structural optimization, simultaneous crack initiation and propagation interacting with interfaces in: ultra-thin ply composites, curved laminates, injection molded fibre reinforced plastic, thermoplastics, layered ceramics, photovoltaics, solid oxide fuel cells and human bones, among others. NEWFRAC guarantees the attendance of early-stage researchers to all network-wide training activities, and favours their training through interdisciplinary and intersectoral research, mobility and exposure to industry, aiming at their transfer to industry after the network. These early stage researchers will become experts in fracture prediction in heterogeneous systems and will contribute to reduce the innovation gap by enhancing two ways academia-industry transfer of knowledge.
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.
This project's classification has been validated by the project's team.
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.
This project's classification has been validated by the project's team.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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 - Marie Skłodowska-Curie Innovative Training Networks (ITN)
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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-2019
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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.
41004 Sevilla
Spain
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.