1. Faceting the post-disaster built heritage reconstruction process within the digital twin framework for Notre-Dame de Paris
- Author
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Gros, Antoine, Guillem, Anaïs, De Luca, Livio, Baillieul, Élise, Duvocelle, Benoit, Malavergne, Olivier, Leroux, Lise, Zimmer, Thierry, Modèles et simulations pour l'Architecture et le Patrimoine (MAP), Ministère de la Culture et de la Communication (MCC)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches Historiques du Septentrion (IRHiS) - UMR 8529 (IRHiS), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire de recherche des monuments historiques (LRMH), Centre de Recherche sur la Conservation (CRC ), and Muséum national d'Histoire naturelle (MNHN)-Ministère de la Culture et de la Communication (MCC)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Ministère de la Culture et de la Communication (MCC)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
reverse engineering ,[SHS.ARCHI]Humanities and Social Sciences/Architecture, space management ,Multidisciplinary ,Notre-Dame de Paris ,reconstruction ,digital twin ,operational research ,anastylosis ,[SHS.MUSEO]Humanities and Social Sciences/Cultural heritage and museology ,[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation ,[SHS]Humanities and Social Sciences - 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.
- Published
- 2023
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