Abstract
Abstract. In the last years many efforts have been invested in the cultural heritage digitization: surveying, modelling, diagnostic analysis and historic data collection. Nowadays, this effort is finalized in many cases towards the Historical Building Information Modelling. The number of informative models testifying the multifaceted richness and unicity of the architectural heritage and its components is progressively increasing. Information and Model are generally acquired under researches and analysis phases addressed to the preservation and restoration process. Unfortunately, once concluded the research such documentation is mostly left abandoned in the drawers or in the local memory of the computers, and in some cases totally missed. Just a few of them are saved in a server or in the cloud for the duration of the restoration, but without any connection with the maintenance process of historic architectures or knowledge transfer purposes and dissemination. This data loss would lead to the breaking of the cycle of past, present and future, with loss of memory and knowledge. The paper start facing the aspect of managing the information and models acquired on the case of vaulted systems. Information is collected within a semantic based hub platform to perform cross co-relation at a PanEuropean level. Such functionality allows to reconstruct the rich history of the construction techniques and skilled workers across Europe, enriched by 3 case studies surveyed in Prague region. To this purpose a Vault DB has been undertaken with a Vocabulary enriched by the granular information gained from the HBIM models, and with the vault sub-typologies highlighted by a detailed surveying.
Highlights
Heritage Building Information Modelling (HBIM) represents systems capable to correlate 3D Models - describing the volumetric geometry of heritage architectural objects, including the 3D stratigraphic texturing and arrangements (Brumana at al., 2018a) and all the precious elements dense of history - with the different Information collected
A number of HBIM informative models carried out on different palaces and on their components, as vaulted systems, or covering systems, gave us the opportunity to gain various information from the vaulted system derived from the geometric surveying, the analysis of the construction technologies, as well as their modelling and historical documents
By investigating the 3D geometry and arrangements, we found out many mixed constructive solutions, obtained from the associations of different typologies, the possibility to go beyond the simplification of the traditional classification of the vault
Summary
Heritage Building Information Modelling (HBIM) represents systems capable to correlate 3D Models - describing the volumetric geometry of heritage architectural objects, including the 3D stratigraphic texturing and arrangements (Brumana at al., 2018a) and all the precious elements dense of history (i.e. walls, covering systems, vaults, stairs, windows, doors) - with the different Information collected (materials, construction techniques, dating, historical data, physical properties, data volume for metric computation, archive data, historical documents and so on). Dimensions, structural elements and components, materials, dates of construction, archive documents and ancient maps have been related within the common working area of the HBIM. Such granular analysis allowed the distinction among the traditional simplified vault typology classification (based on conceptual geometry and simplified concept model), encountering many sub-typologies highlighted analysing the construction technology of the vault components and arrangement techniques with the shapes surveyed; the result is multifaceted richness of solution in the texturing of the masonry elements. This paper describes the possibility to connect the punctual information models aggregating them as a further step through an hub platform and common vocabulary Such hub can give to the structured data sources the possibility to be circulated among others HBIM and data sources, generating a network of knowledge. The research here described proposes a methodology to generate an open, updatable repository, reversing the process toward a bottom-up inventory model progressively fed up by the granular analysis carried out within the HBIM generation
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