%0 Conference Proceedings
%T Mona Lisa's digital twin: identifying the mechanical properties of the panel combining experimental data and advanced finite-element modelling
%+ Department of Agricultural, Food and ForestrySystem (GESAAF)
%+ Institut Pprime [UPR 3346] (PPrime [Poitiers])
%+ Bois (BOIS)
%+ Laboratoire de Mécanique des Contacts et des Structures [Villeurbanne] (LaMCoS)
%+ Les Ateliers Enghien
%+ Centre de recherche et de restauration des musées de France (C2RMF)
%+ Institut Pascal (IP)
%A Riparbelli, Lorenzo
%A Dionisi-Vici, Paolo
%A Dupré, Jean-Christophe
%A Goli, Giacomo
%A Jullien, Delphine
%A Brémand, Fabrice
%A Mazzanti, Paola
%A Hesser, Franck
%A Marcon, Bertrand
%A Togni, Marco
%A Gauvin, Cécilia
%A Arnould, Olivier
%A Valle, Valery
%A Dureisseix, David
%A Cocchi, Linda
%A Mandron, Patrick
%A Ravaud, Elisabeth
%A Uzielli, Luca
%A Gril, Joseph
%< avec comité de lecture
%B 7èmes journées du GDR3544 Sciences du bois
%C Cluny, France
%3 Actes des 7èmes Journées Annuelles du GDR3544 Sciences du bois
%P 250-253
%8 2018-11-20
%D 2018
%K digital twin
%K Mona Lisa
%K finite elements
%K panel painting
%K mechanical properties
%K optimisation
%K experimental tests
%Z Engineering Sciences [physics]/Mechanics [physics.med-ph]/Materials and structures in mechanics [physics.class-ph]Conference papers
%X Since 2004, the “Mona Lisa” painting by Leonardo da Vinci has been studied by an international research group of wood scientists and several experimental campaigns have been carried out to understand its characteristics and provide indications for its conservation. Based on the collected data, a numerical model of the wooden panel has been developed to simulate the mechanical interaction with the framing system. The main objective of this modelling work, described in this paper, is to extract as much information as possible from the experimental tests carried out and, thus, reach a sufficient level of scientific knowledge of the mechanical properties of the panel to build a predictive model. It will be used to predict the effect of modified boundary conditions and as a tool of preventive conservation.
%G English
%2 https://hal.science/hal-02095404/document
%2 https://hal.science/hal-02095404/file/Conf_Gril_al_GDB-Bois_2018.pdf
%L hal-02095404
%U https://hal.science/hal-02095404
%~ PRES_CLERMONT
%~ CNRS
%~ UNIV-BPCLERMONT
%~ UNIV-POITIERS
%~ INSA-LYON
%~ ENSMA
%~ LAMCOS
%~ LMGC
%~ INSTITUT_PASCAL
%~ MIPS
%~ UNIV-MONTPELLIER
%~ INSA-GROUPE
%~ PPRIME
%~ UDL
%~ C2RMF
%~ TEST-HALCNRS
%~ UM-2015-2021
%~ TEST3-HALCNRS
%~ ISAE-ENSMA