Mona Lisa's digital twin: identifying the mechanical properties of the panel combining experimental data and advanced finite-element modelling - Archive ouverte HAL Access content directly
Conference Papers Year : 2018

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

Jean-Christophe Dupré
Delphine Jullien
Fabrice Brémand
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  • PersonId : 846610
Franck Hesser
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  • PersonId : 1031086
Cécilia Gauvin
Olivier Arnould
Valery Valle
Joseph Gril

Abstract

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.
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Dates and versions

hal-02095404 , version 1 (10-04-2019)

Identifiers

  • HAL Id : hal-02095404 , version 1

Cite

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⟩
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