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A platform for research: civil engineering, architecture and urbanism
Detection and semi-Automatic correction of geometric inaccuracies in IFC files
Accurate representation of geometry-related parameters is a prerequisite for the generation of building thermal simulation models. In case geometric data are extracted from IFC files, three types of geometrical errors are often encountered: clash errors where two building solids intersect, space definition errors where a building space volume is incorrectly defined leaving volume gaps between the space and neighboring building entities (walls, slabs,.) and surface orientation errors, where the normal vector of some boundary surfaces of building solids points to the wrong direction, generating a misconception on which area is inside or outside the solid. These errors are introduced either in the design process or during export from the BIM authoring tool. In this paper, error detection and correction algorithms are introduced to address each individual error type. The algorithms are tested on the geometrical data of the IFC files of two office buildings, where errors of the types mentioned above were detected and automatically corrected.
Detection and semi-Automatic correction of geometric inaccuracies in IFC files
Accurate representation of geometry-related parameters is a prerequisite for the generation of building thermal simulation models. In case geometric data are extracted from IFC files, three types of geometrical errors are often encountered: clash errors where two building solids intersect, space definition errors where a building space volume is incorrectly defined leaving volume gaps between the space and neighboring building entities (walls, slabs,.) and surface orientation errors, where the normal vector of some boundary surfaces of building solids points to the wrong direction, generating a misconception on which area is inside or outside the solid. These errors are introduced either in the design process or during export from the BIM authoring tool. In this paper, error detection and correction algorithms are introduced to address each individual error type. The algorithms are tested on the geometrical data of the IFC files of two office buildings, where errors of the types mentioned above were detected and automatically corrected.
Detection and semi-Automatic correction of geometric inaccuracies in IFC files
Lilis, G.N (author) / Giannakis, G.I (author) / Rovas, D.V (author)
2015-12-09
In: (Proceedings) 14th Conference of International Building Performance Simulation Association. (pp. pp. 2182-2189). IBPSA (2015)
Paper
Electronic Resource
English
DDC:
720
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