Raumbuch and HBIM: An Integrated Approach for the Redevelopment of the “Palazzo de La Vallée” in Cagliari
摘要
The article starts from the assumption that historical buildings, whether monumental or representative of a smaller building structure, stand as living testaments to the architectural styles of their era. These structures bridge the past and present, embodying the design principles and influences of their time while remaining active elements in our contemporary world. These premises require a preliminary process of knowledge aimed at preparing interventions for the protection, conservation, and valorisation of these assets. During these preliminary study phases, considerable amounts of heterogeneous data are produced, collected, analysed, and interpreted. However, the sheer volume and variety of data collected during these cognitive investigations can hinder a smooth transition to the parametric modelling phase of HBIM. To address this challenge, numerous studies have shown that streamlining the workflow through data cataloguing is crucial. In order to streamline the HBIM workflow, this article proposes the use of the Raumbuch methodology for archiving and systematizing the information gathered during cognitive investigations. The article illustrates this process through the cognitive research conducted on the Palazzo de La Vallée in Cagliari during its study phase. This eighteenth -century military structure, a significant piece of military-historical heritage, is being documented using a novel methodological protocol. This protocol adopts a multi-faceted approach, integrating drone surveying with meticulously examining of historical sources. Material analysis and stratigraphic and chronological interpretation are further woven into the process to create a rich tapestry of understanding about the building. The information, meticulously organized using the Raumbuch methodology, is then transformed into a format suitable for integration into a parametric HBIM model. This model integrates architectural and dimensional aspects with degradation phenomena, cultural value assessments, and the degree of transformation of each element considered. In addition, the model is designed to support energy analysis.