MASTER

Mastering the Computational Challenges in Numerical Modeling and Optimum Design of CNT Reinforced Composites

Coordinatore	NATIONAL TECHNICAL UNIVERSITY OF ATHENS - NTUA    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	Greece [EL]
Totale costo	2˙496˙000 €
EC contributo	2˙496˙000 €
Programma	FP7-IDEAS-ERC Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	ERC-2011-ADG_20110209
Funding Scheme	ERC-AG
Anno di inizio	2012
Periodo (anno-mese-giorno)	2012-03-01   -   2017-02-28

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	NATIONAL TECHNICAL UNIVERSITY OF ATHENS - NTUA  Organization address address: HEROON POLYTECHNIOU 9 ZOGRAPHOU CAMPUS city: ATHINA postcode: 15780 contact info Titolo: Ms. Nome: Georgia Cognome: Mertzelou Email: send email Telefono: +30 210 772 2033 Fax: +30 210 772 4181	EL (ATHINA)	hostInstitution	2˙496˙000.00
2	NATIONAL TECHNICAL UNIVERSITY OF ATHENS - NTUA  Organization address address: HEROON POLYTECHNIOU 9 ZOGRAPHOU CAMPUS city: ATHINA postcode: 15780 contact info Titolo: Prof. Nome: Emmanouil (Manolis) Cognome: Papadrakakis Email: send email Telefono: +30 210 7721694 Fax: +30 210 7721693	EL (ATHINA)	hostInstitution	2˙496˙000.00

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 Obiettivo del progetto (Objective)

'The innovative and challenging objective of the MASTER project is the numerical modeling and optimum design of complex carbon nanotube (CNT)-reinforced composite morphologies, via a novel and computationally efficient molecular mechanics-based, multiscale stochastic numerical simulation approach, in conjunction with a robust optimization methodology. The rationale of the project is to propose a generic approach for an accurate numerical modeling, efficient analysis and robust design considering uncertainties, of high performance CNT-reinforced composites, in terms of mechanical and damping properties, which could have far reaching implications in the design of current as well as future nano-scale reinforced composites. The above undertaking is confronted with the excessive computational effort required to achieve the proposed objective. This computational effort will be mastered with highly efficient multiscale simulation approaches, innovative numerical solution methods, metaheuristic optimization algorithms, soft computing tools and the exploitation of the recent advances in high performance computing technology. The project has a multidisciplinary dimension by combining various scientific fields such as: molecular mechanics; continuum mechanics; stochastic mechanics; optimization; numerical analysis; soft computing; nanotechnology; material science and computer technology. The achievements of this project are expected to significantly enhance our knowledge on the analysis and design of nanocomposites beyond the current state of the art.'