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

Abstract 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 re...

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Main Authors: Antoine Gros, Anaïs Guillem, Livio De Luca, Élise Baillieul, Benoit Duvocelle, Olivier Malavergne, Lise Leroux, Thierry Zimmer
Format: Article
Language:English
Published: Nature Portfolio 2023-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-32504-9
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author Antoine Gros
Anaïs Guillem
Livio De Luca
Élise Baillieul
Benoit Duvocelle
Olivier Malavergne
Lise Leroux
Thierry Zimmer
author_facet Antoine Gros
Anaïs Guillem
Livio De Luca
Élise Baillieul
Benoit Duvocelle
Olivier Malavergne
Lise Leroux
Thierry Zimmer
author_sort Antoine Gros
collection DOAJ
description Abstract 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.
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spelling doaj.art-81024c27ef8741fbac79d59a03bfb3182023-04-16T11:13:35ZengNature PortfolioScientific Reports2045-23222023-04-0113111210.1038/s41598-023-32504-9Faceting the post-disaster built heritage reconstruction process within the digital twin framework for Notre-Dame de ParisAntoine Gros0Anaïs Guillem1Livio De Luca2Élise Baillieul3Benoit Duvocelle4Olivier Malavergne5Lise Leroux6Thierry Zimmer7UMR CNRS/MC 3495 MAP, Modèles et Simulations pour l’Architecture et le PatrimoineUMR CNRS/MC 3495 MAP, Modèles et Simulations pour l’Architecture et le PatrimoineUMR CNRS/MC 3495 MAP, Modèles et Simulations pour l’Architecture et le PatrimoineUMR CNRS/Univ. Lille 8529 IRHiS, Institut de Recherches Historiques du SeptentrionSJTU Paris Elite Institute of TechnologyLaboratoire de Recherche des Monuments HistoriquesLaboratoire de Recherche des Monuments HistoriquesLaboratoire de Recherche des Monuments HistoriquesAbstract 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.https://doi.org/10.1038/s41598-023-32504-9
spellingShingle Antoine Gros
Anaïs Guillem
Livio De Luca
Élise Baillieul
Benoit Duvocelle
Olivier Malavergne
Lise Leroux
Thierry Zimmer
Faceting the post-disaster built heritage reconstruction process within the digital twin framework for Notre-Dame de Paris
Scientific Reports
title Faceting the post-disaster built heritage reconstruction process within the digital twin framework for Notre-Dame de Paris
title_full Faceting the post-disaster built heritage reconstruction process within the digital twin framework for Notre-Dame de Paris
title_fullStr Faceting the post-disaster built heritage reconstruction process within the digital twin framework for Notre-Dame de Paris
title_full_unstemmed Faceting the post-disaster built heritage reconstruction process within the digital twin framework for Notre-Dame de Paris
title_short Faceting the post-disaster built heritage reconstruction process within the digital twin framework for Notre-Dame de Paris
title_sort faceting the post disaster built heritage reconstruction process within the digital twin framework for notre dame de paris
url https://doi.org/10.1038/s41598-023-32504-9
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