The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVI-2/W1-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2/W1-2022, 481–488, 2022
https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-481-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2/W1-2022, 481–488, 2022
https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-481-2022

  25 Feb 2022

25 Feb 2022

BIM FOR EXISTING HERITAGE: FROM 3D INTEGRATED SURVEY TO PARAMETRIC MODELING FOR REFURBISHMENT AND MANAGEMENT

N. Tasselli and F. Maietti N. Tasselli and F. Maietti
  • University of Ferrara, Department of Architecture, Italy

Keywords: Existing Heritage, Digital Survey, Modelling, BIM, As-Built, Refurbishment

Abstract. The research is aimed at developing an integrated methodology based on digital tools to support professionals working on existing buildings using BIM – Building Information Modeling methodologies, combining digitization (As-Built) with the growing need for refurbishment in an integrated supply chain perspective. The focus is the XX century heritage in Emilia-Romagna, to respond to a need for widespread redevelopment of existing assets, fostering innovation in the use of advanced digital tools and innovative materials for the redevelopment process. One of the research objectives is to include all actors involved in the building renovation process in developing and managing the BIM model. The main challenge is the complexity of the process, which requires a planned, coordinated, and synchronised effort from all the involved actors. To foster an inclusive approach, the research methodology proposes simplified tools and procedures, designed to allow a gradual transition into the BIM methodology. The development of BIM Smart Packages, which combine the needs of all the actors involved in the refurbishment process and those who have to produce and trade integrated solutions, can increase stakeholders’ interest in investing in the digitisation of the intervention process.