A complete methodology for the mechanical diagnosis of statue provided by innovative uses of 3D model. Application to the imperial marble statue of Alba-la-Romaine (France) - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Cultural Heritage Année : 2017

A complete methodology for the mechanical diagnosis of statue provided by innovative uses of 3D model. Application to the imperial marble statue of Alba-la-Romaine (France)

Résumé

A multidisciplinary methodology is presented to assess the mechanical behaviour of a marble statue with complex fracture plans and localized cracks. Firstly, a 3D model is generated by photogrammetry. Its underlying geometrical data provide valuable insight for the physical characterisation and the numerical analysis. Indeed, the ultrasound analysis, which is usually impossible on such a complex shape, is achieved thanks to the accurate measures of distance between transmitter and receiver obtained from the 3D geometrical model. Finally, an innovative use of FEM/DEM analysis is proposed to evaluate the mechanical relevance of a non-destructive basing system. Reflecting the advances of this collective work, the resulting pedestal solution is non-conventional since it is safe, not invasive and totally reversible. A particular attention is paid to use mainly open-source numerical tools from 3D acquisition through mechanical analysis in order to enable the reproducibility of the process.
Fichier principal
Vignette du fichier
Art_Cherblanc_al_Complete_methodology_2017.pdf (7.99 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01529338 , version 1 (30-05-2017)

Identifiants

Citer

Marine Bagnéris, Fabien Cherblanc, Philippe Bromblet, Eloi Gattet, Léonard Gügi, et al.. A complete methodology for the mechanical diagnosis of statue provided by innovative uses of 3D model. Application to the imperial marble statue of Alba-la-Romaine (France). Journal of Cultural Heritage, 2017, 28, pp.109-116. ⟨10.1016/j.culher.2017.05.002⟩. ⟨hal-01529338⟩
209 Consultations
227 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More