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  • Катедра за управљање пројектима у грађевинарству
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Bridge damage: Detection, IFC-based semantic enrichment and visualization

Authorized Users Only
2020
Authors
Isailović, Dušan
Stojanovic, Vladeta
Trapp, Matthias
Richter, Rico
Hajdin, Rade
Döllner, Jürgen
Article (Accepted Version)
,
Elsevier
Metadata
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Abstract
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 Systems
Source:
Automation in Construction, 2020, 112
Publisher:
  • Elsevier
Projects:
  • Development of the method for the production of MEP design and construction documents compatible with BIM process and related standards (RS-36038)

DOI: 10.1016/j.autcon.2020.103088

ISSN: 0926-5805

WoS: 000526785600012

Scopus: 2-s2.0-85078194587
[ Google Scholar ]
3
1
URI
http://grafar.grf.bg.ac.rs/handle/123456789/1857
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  • Катедра за управљање пројектима у грађевинарству
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