EXTENDING 3D QUALITY MODELLING FOR EARTHQUAKE-DAMAGED STONE MASONRY WALL: COMBINED DIGITAL MODELS FOR BUILDING ARCHAEOLOGY
<p>The paper proposes an approach for defining a generative modelling process of complex objects and their sharing. The case study is the Stronghold of Arquata del Tronto, a monument of extraordinary historical, cultural and landscape value, damaged by the earthquake in 2016. The first step ha...
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doaj-1a5646cbc76547f4a7ed4fc40d88b2102021-08-29T21:06:41ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342021-08-01XLVI-M-1-202172172810.5194/isprs-archives-XLVI-M-1-2021-721-2021EXTENDING 3D QUALITY MODELLING FOR EARTHQUAKE-DAMAGED STONE MASONRY WALL: COMBINED DIGITAL MODELS FOR BUILDING ARCHAEOLOGYC. Stanga0R. Brumana1M. Previtali2A. G. Landi3F. Banfi4Politecnico di Milano, Dept. of Architecture and Urban Studies (DAStU), via Bonardi 9, Milan, 20133, ItalyPolitecnico di Milano, Dept. of Architecture, Built Environment and Construction Engineering (ABC), via Ponzio 31, Milan, 20133, ItalyPolitecnico di Milano, Dept. of Architecture, Built Environment and Construction Engineering (ABC), via Ponzio 31, Milan, 20133, ItalyPolitecnico di Milano, Dept. of Architecture and Urban Studies (DAStU), via Bonardi 9, Milan, 20133, ItalyPolitecnico di Milano, Dept. of Architecture, Built Environment and Construction Engineering (ABC), via Ponzio 31, Milan, 20133, Italy<p>The paper proposes an approach for defining a generative modelling process of complex objects and their sharing. The case study is the Stronghold of Arquata del Tronto, a monument of extraordinary historical, cultural and landscape value, damaged by the earthquake in 2016. The first step has been data acquisition on a geometrical level, through laser scanner and UAV photogrammetry, and on a historical level, through archival research to understand construction phases and transformations. The Stronghold was probably built between the 11 and the 12th century on a hill to control the territory. It underwent several transformations and neglection phases over the centuries. The second phase has been the generative modelling following the scan-to-BIM approach. The three-dimensional model is intended to support the design phases, from preliminary analysis to the construction site.</p><p>For this reason, the Stronghold has been modelled with different Grade of Generation (GOG). The study of the eastern curtain wall, where the signs suffered by the structure due to the earthquake are most evident, was deepened through a Building Archaeology preliminary analysis. The third phase aimed at orienting the HBIM towards three digital information-sharing solutions such as Common Data Environment (CDE), and Virtual Reality (VR) to enhance the cultural and historical values, supporting the reopening of the Stronghold as a venue for conferences and exhibitions.</p>https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-M-1-2021/721/2021/isprs-archives-XLVI-M-1-2021-721-2021.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
C. Stanga R. Brumana M. Previtali A. G. Landi F. Banfi |
spellingShingle |
C. Stanga R. Brumana M. Previtali A. G. Landi F. Banfi EXTENDING 3D QUALITY MODELLING FOR EARTHQUAKE-DAMAGED STONE MASONRY WALL: COMBINED DIGITAL MODELS FOR BUILDING ARCHAEOLOGY The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
C. Stanga R. Brumana M. Previtali A. G. Landi F. Banfi |
author_sort |
C. Stanga |
title |
EXTENDING 3D QUALITY MODELLING FOR EARTHQUAKE-DAMAGED STONE MASONRY WALL: COMBINED DIGITAL MODELS FOR BUILDING ARCHAEOLOGY |
title_short |
EXTENDING 3D QUALITY MODELLING FOR EARTHQUAKE-DAMAGED STONE MASONRY WALL: COMBINED DIGITAL MODELS FOR BUILDING ARCHAEOLOGY |
title_full |
EXTENDING 3D QUALITY MODELLING FOR EARTHQUAKE-DAMAGED STONE MASONRY WALL: COMBINED DIGITAL MODELS FOR BUILDING ARCHAEOLOGY |
title_fullStr |
EXTENDING 3D QUALITY MODELLING FOR EARTHQUAKE-DAMAGED STONE MASONRY WALL: COMBINED DIGITAL MODELS FOR BUILDING ARCHAEOLOGY |
title_full_unstemmed |
EXTENDING 3D QUALITY MODELLING FOR EARTHQUAKE-DAMAGED STONE MASONRY WALL: COMBINED DIGITAL MODELS FOR BUILDING ARCHAEOLOGY |
title_sort |
extending 3d quality modelling for earthquake-damaged stone masonry wall: combined digital models for building archaeology |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2021-08-01 |
description |
<p>The paper proposes an approach for defining a generative modelling process of complex objects and their sharing. The case study is the Stronghold of Arquata del Tronto, a monument of extraordinary historical, cultural and landscape value, damaged by the earthquake in 2016. The first step has been data acquisition on a geometrical level, through laser scanner and UAV photogrammetry, and on a historical level, through archival research to understand construction phases and transformations. The Stronghold was probably built between the 11 and the 12th century on a hill to control the territory. It underwent several transformations and neglection phases over the centuries. The second phase has been the generative modelling following the scan-to-BIM approach. The three-dimensional model is intended to support the design phases, from preliminary analysis to the construction site.</p><p>For this reason, the Stronghold has been modelled with different Grade of Generation (GOG). The study of the eastern curtain wall, where the signs suffered by the structure due to the earthquake are most evident, was deepened through a Building Archaeology preliminary analysis. The third phase aimed at orienting the HBIM towards three digital information-sharing solutions such as Common Data Environment (CDE), and Virtual Reality (VR) to enhance the cultural and historical values, supporting the reopening of the Stronghold as a venue for conferences and exhibitions.</p> |
url |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-M-1-2021/721/2021/isprs-archives-XLVI-M-1-2021-721-2021.pdf |
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