With the trend of information technology, enriched “information” modelling techniques – Building Information Modelling (BIM) can manage the geometry, semantic and attribute information. The research focuses on the built heritage documentation utilizing the BIM technique and addressed the issue of historic/heritage building information modelling (HBIM). The dedicated HBIM provide a unified platform for semantic/parametric modelling, 2D/3D visualization, and spatial/attribute database and management of the built heritage. The created HBIM model is a parametric model with semantic and relationship information. It also provides a platform to store, manage and analyze the various attributes, spatial relationships and geometric information.
Considering the current HBIM is generally constructed in a time-consuming manual-drawing way, the purpose of this thesis is to explore some new ways to help the transformation from the traditional geometric models to parametric/semantic HBIM models. Specifically, the research involves: (i) To explore the general HBIM workflows including the HBIM concept for lost built heritage and the as-built HBIM concept for existing built heritage; (ii) To compare the traditional geometric model and HBIM model in the aspect of parameters, semantics, relationship, and possible applications (including structural analysis and the connection with ontology); (iii) To transfer the traditional geometric models to HBIM models with reduced human involvement using API development and visual programming.
Date of Defence
17 December 2018
- Monica Siroux (President of the jury, Examinator)
- Pierre Grussenmeyer (Thesis director)
- Andreas Georgopoulos (Reviewer 1)
- Pierre Drap (Reviewer 2)
- Deni Suwardhi (Examinator)
- Mathieu Koehl (Examinator, Co-Supervisor)
Funding and Duration
The PhD dissertation manuscript can be downloaded here.