Bridge damage: Detection, IFC-based semantic enrichment and visualization
2020
Autori
Isailović, DušanStojanovic, Vladeta
Trapp, Matthias
Richter, Rico
Hajdin, Rade
Döllner, Jürgen
Članak u časopisu (Recenzirana verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
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."
Ključne reči:
Damage detection / Building Information Modeling / 3D point clouds / Multiview classification / Bridge Management SystemsIzvor:
Automation in Construction, 2020, 112Izdavač:
- Elsevier
Finansiranje / projekti:
DOI: 10.1016/j.autcon.2020.103088
ISSN: 0926-5805