Bridge damage: Detection, IFC-based semantic enrichment and visualization
2020
Authors
Isailović, DušanStojanovic, Vladeta
Trapp, Matthias
Richter, Rico
Hajdin, Rade
Döllner, Jürgen
Article (Accepted Version)
Metadata
Show full item recordAbstract
Building Information Modeling (BIM) representations of bridges enriched by inspection data will add tremendous value to future Bridge Management Systems (BMSs). This paper presents an approach for point cloud-based detection of spalling damage, as well as integrating damage components into a BIM via semantic enrichment of an as-built Industry Foundation Classes (IFC) model. An approach for generating the as-built BIM, geometric reconstruction of detected damage point clusters and semantic-enrichment of the corresponding IFC model is presented. Multiview-classification is used and evaluated for the detection of spalling damage features. The semantic enrichment of as-built IFC models is based on injecting classified and reconstructed damage clusters back into the as-built IFC, thus generating an accurate as-is IFC model compliant to the BMS inspection requirements."
Keywords:
Damage detection / Building Information Modeling / 3D point clouds / Multiview classification / Bridge Management SystemsSource:
Automation in Construction, 2020, 112Publisher:
- Elsevier
Funding / projects:
DOI: 10.1016/j.autcon.2020.103088
ISSN: 0926-5805