Semantic as-built 3D modeling of structural elements of buildings based on local concavity and convexity. (October 2017)

• Record Type: Journal Article
• Authors: Son, Hyojoo; Kim, Changwan
• Is Part Of: Advanced engineering informatics. Volume 34(2017)
• Page Start: 114
• Page End: 124
• Publication Date: 2017-10
• Subjects: As-built BIM -- Laser-scan data -- Local convexity -- Scan-to-BIM -- Structural works; Computer-aided engineering -- Periodicals; Engineering -- Data processing -- Periodicals; 620.00285
• DOI: 10.1016/j.aei.2017.10.001
• Languages: English
• ISSNs: 1474-0346

Abstract

Highlights: This study proposed a method for semantic as-built modeling of structural elements. The method uses local concave and convex properties between structural elements. Performance was evaluated using laser-scan data acquired from the construction sites. 3D point cloud was segmented into parts belonging to their own functional semantics. The method has ability to generate volumetric-semantic models of as-built structures. Abstract: The aim of this study is to propose a method for generating as-built BIMs from laser-scan data obtained during the construction phase, particularly during ongoing structural works. The proposed method consists of three steps: region-of-interest detection to distinguish the 3D points that are part of the structural elements to be modeled, scene segmentation to partition the 3D points into meaningful parts comprising different types of elements (e.g., floors, columns, walls, girders, beams, and slabs) using local concave and convex properties between structural elements, and volumetric representation. The proposed method was tested in field experiments by acquiring and processing laser-scan data from construction sites. The performance of the proposed method was evaluated by quantitatively measuring how accurately each of the structural elements was recognized as its functional semantics. Overall, 139 elements of the 141 structural elements (99%) in the two construction sites combined were recognized and modeled according to their actual functional semantics. As the experimental results imply, the proposed method can be used for as-built BIMs without any prior information from as-planned models.