Title :

Faceting the post-disaster built heritage reconstruction process within the digital twin framework for Notre-Dame de Paris

Author(s) :

Gros, Antoine [Auteur]
Modèles et simulations pour l'Architecture et le Patrimoine [MAP]
Guillem, Anaïs [Auteur]
Modèles et simulations pour l'Architecture et le Patrimoine [MAP]
De Luca, Livio [Auteur]
Modèles et simulations pour l'Architecture et le Patrimoine [MAP]
Baillieul, Elise [Auteur]
Institut de Recherches Historiques du Septentrion (IRHiS) - UMR 8529
Duvocelle, Benoît [Auteur]
Malavergne, Olivier [Auteur]
Leroux, Lise [Auteur]
Zimmer, Thierry [Auteur]

Journal title :

Scientific Reports

Volume number :

13

Pages :

5981

Publisher :

Springer Science and Business Media LLC

Publication date :

2023-04-12

English keyword(s) :

Applied mathematics
Engineering
Information technology

HAL domain(s) :

Sciences de l'Homme et Société/Histoire

English abstract : [en]

April 15th, 2019: Notre-Dame Cathedral in Paris was burning, the spire collapsed on the nave, vaults crumbled and most of the timber roof was gone. In the post-disaster context, the authenticity and the monitoring of the ...
Show more >April 15th, 2019: Notre-Dame Cathedral in Paris was burning, the spire collapsed on the nave, vaults crumbled and most of the timber roof was gone. In the post-disaster context, the authenticity and the monitoring of the archaeological remains are crucial for their potential reuse during reconstruction. This paper analyzes the collapsed transverse arch from the nave of Notre-Dame as a case study of reconstruction, using the digital twin framework. We propose four facets for the digital twin experiment—physical anastylosis, reverse engineering, spatio-temporal tracking of assets, and operational research—that are described in detail, while being assembled to support a hybrid reconstruction hypothesis. The digital twin can realize the parallel unfolding of physical-native and digital-native processes, while acquiring and storing heterogeneous information as semantically structured data. The results demonstrate that the proposed modeling method facilitates the formalization and validation of the reconstruction problem and increases solutions performances. As result, we present a digital twin framework application ranging from acquisition to data processing that informs a successful hybrid reconstruction hypothesis.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CNRS

Collections :

• Institut de Recherches Historiques du Septentrion (IRHiS) - UMR 8529

Submission date :

2024-01-24T06:46:06Z
2024-02-21T15:24:07Z