Objective
Fracture of materials is problematic across many disciplines and scales, from large building collapses and costly preventative engineering fixes to the personal injuries caused by bone fracture. 80–90% of all structural failures occur as a result of fatigue and thus fracture mechanisms. Extensive testing of materials for fracture parameters before use in specific applications can be costly, wasteful and prohibitive when creating large structures. Computer models can be used to assess the probability and impact of fracture for a specific application and material, thus serving as a prediction tool. However, the models used are not accurate and reliable across multiple scales and across varying applications.
Fracture across Scales and Materials, Processes and Disciplines (FRAMED) aims to develop a predictive modeling framework for fracture which will be applicable across multiple scales and materials, and across multiple disciplines and processes; the target audience for applications are designers in the engineering field.
FRAMED will utilise the Marie Skłodowska-Curie Research and Innovation Staff Exchange (MSCA-RISE) scheme to create a multi-disciplinary consortium consisting of engineers, chemists, material scientists, physicists and applied mathematicians to create accurate and robust fracture models that can be used across a variety of scales, materials, processes and disciplines. We will enhance the research and development work to be undertaken, providing a solid foundation for long term international and inter-sectoral collaboration. High quality research and development work will be carried out via international and intersectoral secondments, facilitating the creation of professional networks and knowledge transfer.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Keywords
Programme(s)
Coordinator
546 36 THESSALONIKI
Greece
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Participants (13)
75272 Paris
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91054 Erlangen
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1180 Wien
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10129 Torino
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751 05 Uppsala
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B4 7ET Birmingham
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15100 San Giuliano Vecchio
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
S10 2TN Sheffield
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754 50 Uppsala
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
57001 Thessaloniki, Macedonia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
116 36 Praha 1
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7491 Trondheim
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NG5 1FX Nottingham
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (11)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
10044 BEIJING
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Participation ended
455000 MAGNITOGORSK
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200444 Shanghai
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614990 PERM
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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85281 Tempe
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49931 Houghton Mi
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Participation ended
197101 ST PETERSBURG
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32611 5500 Gainesville
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Participation ended
445667 Togliatti
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
8608555 Chuo Ku Kumamoto
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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