Building Information Modelling (BIM) is a globally adapted methodology by government organisations and builders who conceive the integration of the organisation, planning, development and the digital construction model into a single project. In the case of a heritage building, the Historic Building Information Modelling (HBIM) approach is able to cover the comprehensive restoration of the building. In contrast to BIM applied to new buildings, HBIM can address different models which represent either periods of historical interpretation, restoration phases or records of heritage assets over time. Great efforts are currently being made to automatically reconstitute the geometry of cultural heritage elements from data acquisition techniques such as Terrestrial Laser Scanning (TLS) or Structure From Motion (SfM) into BIM (Scan-to-BIM). Hence, this work advances on the parametric modelling from remote sensing point cloud data, which is carried out under the Rhino+Grasshopper-ArchiCAD combination. This workflow enables the automatic conversion of TLS and SFM point cloud data into textured 3D meshes and thus BIM objects to be included in the HBIM project. The accuracy assessment of this workflow yields a standard deviation value of 68.28 pixels, which is lower than other author’s precision but suffices for the automatic HBIM of the case study in this research.
Abstract. Internal and external migration from vernacular settlements is not a new phenomenon. However, the scale and scope increased when forced migration is becoming exacerbated due to both armed conflicts and climate change. Political tensions are one of the most common threats to vernacular dwellings in conflict areas. Not only do destruction and vandalism cause harm to vernacular architecture, but people living in vernacular buildings are often forced to leave their homes in order to seek safety. On the other hand, vernacular architecture can help refugee crises in hosting countries. Billions of dollars are invested in establishing temporary refugee camps, yet we know for a fact they are rarely temporary. People stay in such camps for decades, commonly Cons located on the outskirts of cities, where vernacular settlements also tend to be. Investments in rebuilding, restoring and reusing vernacular settlements can be a win-win situation. The time and cost of the rehabilitation process might also not be suitable to many camps, or camp-like, contexts. Also, encounters some regulations for listed vernacular heritage sites that cannot be used as dwellings and must be kept as open museums. In this study, a proposal for reusing and rehabilitating vernacular settlements will be discussed together with reflections on challenges and obstacles. The case study chosen for this research is in the Middle East, where the majority of refugees settled after the Arab Spring. This paper demonstrates a methodology in which algorithmic modelling is applied to refugee settlement site planning.
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