Mona Lisa's digital twin: identifying the mechanical properties of the panel combining experimental data and advanced finite-element modelling

Lorenzo Riparbelli (1) , Paolo Dionisi-Vici (1) , Jean-Christophe Dupré (2) , Giacomo Goli (1) , Delphine Jullien (3) , Fabrice Brémand (2) , Paola Mazzanti (1) , Franck Hesser (2) , Bertrand Marcon (1, 3) , Marco Togni (1) , Cécilia Gauvin (3) , Olivier Arnould (3) , Valery Valle (2) , David Dureisseix (4) , Linda Cocchi (1) , Patrick Mandron (5) , Elisabeth Ravaud (6) , Luca Uzielli (1) , Joseph Gril (7, 3)

1 GESAAF - Department of Agricultural, Food and ForestrySystem
2 PPrime [Poitiers] - Institut Pprime [UPR 3346]
3 BOIS - Bois
4 LaMCoS - Laboratoire de Mécanique des Contacts et des Structures [Villeurbanne]
5 Les Ateliers Enghien
6 C2RMF - Centre de recherche et de restauration des musées de France
7 IP - Institut Pascal

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.

Mots clés: digital twin; Mona Lisa; finite elements; panel painting; mechanical properties; optimisation; experimental tests

Domaines: Matériaux et structures en mécanique [physics.class-ph]

Lorenzo Riparbelli, Paolo Dionisi-Vici, Jean-Christophe Dupré, Giacomo Goli, Delphine Jullien, et al.. Mona Lisa's digital twin: identifying the mechanical properties of the panel combining experimental data and advanced finite-element modelling. 7èmes journées du GDR3544 Sciences du bois, Nov 2018, Cluny, France. pp.250-253. ⟨hal-02095404⟩