In the last years it has been progressively invested many efforts in the cultural heritage digitization: surveying, modeling activities, diagnostic analysis and historic data collection of architectural heritage. Such actions have been mainly acquired for the preservation process, during the restoration and construction site. Unfortunately, many of them are left abandoned in a latent status without any connection with the long life cycle of the historic architectures or connection to the dissemination. The paper presents the case of an informative model for the Basilica di Collemaggio generated on high resolution surveying (laser scanning, photogrammetric point clouds and IRT Infrared Thermography) to manage the knowledge acquired on the geometry and the collected information on materials, construction technology and decay analysis for the design and conservation after the earthquake occurred at L’Aquila. The paper illustrates the HBIM (Heritage Building Information Model) achieved to support the restoration process funded by EniServizi within the project ‘Restart from Collemaggio’. It is described the generative modelling process implemented to embody the complexity and specificity of the morphology related to the collected information on the state of the art, the sum of the current damages and transformations during the centuries, for the preservation plan of the monument. Many damaged structures as in the case of the north wall with the Holy Door and of the arched naves with the ancient pillars have been restored preserving the maximum level of authenticity of the materials and construction techniques. The HBIM of the Basilica, re-opened to the public on December 2017, is ready to a sentinel role among past present and future.

SCAN to HBIM-Post Earthquake Preservation: Informative Model as Sentinel at the Crossroads of Present, Past, and Future

Brumana, Raffaella;Della Torre, Stefano;Oreni, Daniela;Cantini, Lorenzo;Previtali, Mattia;Barazzetti, Luigi;Banfi, Fabrizio
2018-01-01

Abstract

In the last years it has been progressively invested many efforts in the cultural heritage digitization: surveying, modeling activities, diagnostic analysis and historic data collection of architectural heritage. Such actions have been mainly acquired for the preservation process, during the restoration and construction site. Unfortunately, many of them are left abandoned in a latent status without any connection with the long life cycle of the historic architectures or connection to the dissemination. The paper presents the case of an informative model for the Basilica di Collemaggio generated on high resolution surveying (laser scanning, photogrammetric point clouds and IRT Infrared Thermography) to manage the knowledge acquired on the geometry and the collected information on materials, construction technology and decay analysis for the design and conservation after the earthquake occurred at L’Aquila. The paper illustrates the HBIM (Heritage Building Information Model) achieved to support the restoration process funded by EniServizi within the project ‘Restart from Collemaggio’. It is described the generative modelling process implemented to embody the complexity and specificity of the morphology related to the collected information on the state of the art, the sum of the current damages and transformations during the centuries, for the preservation plan of the monument. Many damaged structures as in the case of the north wall with the Holy Door and of the arched naves with the ancient pillars have been restored preserving the maximum level of authenticity of the materials and construction techniques. The HBIM of the Basilica, re-opened to the public on December 2017, is ready to a sentinel role among past present and future.
2018
7th International Conference on Digital Heritage, EuroMed 2018
9783030017613
Authenticity; Conservation plan; DB; Generative modelling; HBIM; Informative models; LOA; LOD; LOG; LOI; Materials; NURBS; Open access; Preservation; Theoretical Computer Science; Computer Science (all)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1075069
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