Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W3, 651-657, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W3-651-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
23 Feb 2017
PARAMETRIC MODELLING OF AS-BUILT BEAM FRAMED STRUCTURE IN BIM ENVIRONMENT
X. Yang, M. Koehl, and P. Grussenmeyer Photogrammetry and Geomatics Group, ICube Laboratory UMR 7357, INSA Strasbourg, France
Keywords: Cultural Heritage, Timber Roof, Building Information Modelling, Parametric Modelling, Revit plugin Abstract. A complete documentation and conservation of a historic timber roof requires the integration of geometry modelling, attributional and dynamic information management and results of structural analysis. Recently developed as-built Building Information Modelling (BIM) technique has the potential to provide a uniform platform, which provides possibility to integrate the traditional geometry modelling, parametric elements management and structural analysis together.

The main objective of the project presented in this paper is to develop a parametric modelling tool for a timber roof structure whose elements are leaning and crossing beam frame. Since Autodesk Revit, as the typical BIM software, provides the platform for parametric modelling and information management, an API plugin, able to automatically create the parametric beam elements and link them together with strict relationship, was developed. The plugin under development is introduced in the paper, which can obtain the parametric beam model via Autodesk Revit API from total station points and terrestrial laser scanning data. The results show the potential of automatizing the parametric modelling by interactive API development in BIM environment. It also integrates the separate data processing and different platforms into the uniform Revit software.

Conference paper (PDF, 3227 KB)


Citation: Yang, X., Koehl, M., and Grussenmeyer, P.: PARAMETRIC MODELLING OF AS-BUILT BEAM FRAMED STRUCTURE IN BIM ENVIRONMENT, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W3, 651-657, https://doi.org/10.5194/isprs-archives-XLII-2-W3-651-2017, 2017.

BibTeX EndNote Reference Manager XML