%0 Conference Paper
%F Oral 
%T Learning from Objects: the use of advanced numerical methods to exploit a complete set of information from experimental data, for the Mona Lisa's Digital-Twin
%+ Department of Agriculture, Food, Environment and Forestry (DAGRI)
%+ Institut Pprime [UPR 3346] (PPrime [Poitiers])
%+ Bois (BOIS)
%+ Centre de recherche et de restauration des musées de France (C2RMF)
%+ Institut Pascal (IP)
%+ Laboratoire de Physique et Physiologie Intégratives de l’Arbre en environnement Fluctuant (PIAF)
%A Riparbelli, Lorenzo
%A Brémand, Fabrice
%A Dionisi-Vici, Paolo
%A Dupré, Jean-Christophe
%A Goli, Giacomo
%A Jullien, Delphine
%A Mazzanti, Paola
%A Togni, Marco
%A Ravaud, Elisabeth
%A Uzielli, Luca
%A Gril, Joseph
%< avec comité de lecture
%B Heritech
%C Florence, Italy
%8 2020-10-14
%D 2020
%K wood
%K panel painting
%K Mona Lisa
%K numerical simulation
%K hygromechanical behaviour
%Z Engineering Sciences [physics]/Mechanics [physics.med-ph]/Materials and structures in mechanics [physics.class-ph]Conference papers
%X The approach to wooden artefacts of historical importance, and panel paintings in particular, is a task that requires a multidisciplinary approach based on experimental observation of the artwork and advanced techniques to make these data actually useful for the knowledge and preservation of the object. This study illustrates how a series of scientific observations and instrumental analyses can be used to construct a numerical simulation that allows a deeper understanding of the physical structure and behaviour of the object itself, namely to construct a hygro-mechanical predictive model (a “Digital-Twin”) of Leonardo da Vinci's Mona Lisa panel. Based on specific request from the Louvre Museum, a group of experts with different and complementary skills cooperated and are still cooperating to construct a complete set of experimental observation and non-invasive tests; so, the integration of the collected data made the construction possible of the panel’s Digital-Twin. This paper also specifically examines how the Digital-Twin can be used to compare two framing conditions of the panel; although the two experimental configurations are not inherently comparable, the comparison is made possible by the introduction of a technique of projection of the fields obtained as results of the two analyses, named the Projected Model Comparison (PMC), which has been developed specifically for this research.
%G English
%2 https://hal.science/hal-03053193/document
%2 https://hal.science/hal-03053193/file/20200216HerieTech2020_draft_Riparbelli.pdf
%L hal-03053193
%U https://hal.science/hal-03053193
%~ PRES_CLERMONT
%~ CNRS
%~ UNIV-BPCLERMONT
%~ UNIV-POITIERS
%~ ENSMA
%~ LMGC
%~ INSTITUT_PASCAL
%~ PIAF
%~ MIPS
%~ UNIV-MONTPELLIER
%~ PPRIME
%~ C2RMF
%~ INRAE
%~ TEST-HALCNRS
%~ UM-2015-2021
%~ TEST3-HALCNRS
%~ RESEAU-EAU
%~ DPT_ECODIV
%~ ISAE-ENSMA