University of Catania
Follow us
Search

AGM FOR CUHE

Materiali di nuova generazione per il restauro dei beni culturali: nuovo approccio alla fruizione
Classification: 
national research
Programme: 
PON Ricerca e Innovazione 2014-2020
Call: 
Avviso per la presentazione di progetti di ricerca industriale e sviluppo sperimentale nelle 12 aree di specializzazione individuate dal PNR 2015-2020 (D.D. n. 1735 del 13/07/2017)
Main ERC field: 
Physical Sciences and Engineering
Unict role: 
Beneficiary
Duration (months): 
42
Start date: 
Wednesday, September 12, 2018
End date: 
Friday, March 11, 2022
Total cost: 
€ 9.987.623,43
Unict cost: 
€ 2.021.777,75
Coordinator: 
Università degli Studi di Catania
Principal investigator in Unict: 
Germana Barone
University department involved: 
Department of Biological, Geological and Environmental Sciences
Department of Chemical Sciences
Department of Law
Department of Physics and Astronomy
Department of Economics and Business
Participants: 

Costruzioni Edil Ponti s.c.a.r.l; Distretto Tecnologico Sicilia Micro e Nano Sistemi; INSTM Consorzio Interuniversitario Nazionale per la Scienza e la Tecnologia dei Materiali; LBC soc. coop. Artigiana- M.E.G.A.RES. S.r.l.; Piacenti s.p.a.- SB Engineering s.r.l.; Università degli Studi di Firenze, Università degli Studi di Modena e Reggio Emilia; Università degli Studi di Pisa

Abstract

AGM for CuHe aims to advance knowledge on innovative materials for the restoration of cultural heritage monuments in areas where this has great potential as a driving force of the economy. The materials to be studied must be eco friendly, smart and with excellent technical characteristics. AGM for CuHe will have important consequences in the field of cultural heritage by activating a systemic path that starting from the formulation of materials, will encourage restoration interventions and will determine the growth of a new idea of tourist enjoyment. For the protection and security of monuments located in regions with high seismicity, the project foresees the advancement of knowledge in the development of models under seismic stress conditions. The applications to real cases will be preceded by the modeling of the restoration intervention based on the data of the substrate and on the interactions with the experimental materials.