Bridge damage: Detection, IFC-based semantic enrichment and visualization
2020
Аутори
Isailović, DušanStojanovic, Vladeta
Trapp, Matthias
Richter, Rico
Hajdin, Rade
Döllner, Jürgen
Чланак у часопису (Рецензирана верзија)
Метаподаци
Приказ свих података о документуАпстракт
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."
Кључне речи:
Damage detection / Building Information Modeling / 3D point clouds / Multiview classification / Bridge Management SystemsИзвор:
Automation in Construction, 2020, 112Издавач:
- Elsevier
Финансирање / пројекти:
- Развој методе израде пројектне и извођачке документације инсталационих мрежа у зградама компатибилне са BIM процесом и релевантним стандардима (RS-MESTD-Technological Development (TD or TR)-36038)
DOI: 10.1016/j.autcon.2020.103088
ISSN: 0926-5805
WoS: 000526785600012
Scopus: 2-s2.0-85078194587
Институција/група
GraFarTY - JOUR AU - Isailović, Dušan AU - Stojanovic, Vladeta AU - Trapp, Matthias AU - Richter, Rico AU - Hajdin, Rade AU - Döllner, Jürgen PY - 2020 UR - https://grafar.grf.bg.ac.rs/handle/123456789/1857 AB - 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." PB - Elsevier T2 - Automation in Construction T1 - Bridge damage: Detection, IFC-based semantic enrichment and visualization VL - 112 DO - 10.1016/j.autcon.2020.103088 ER -
@article{ author = "Isailović, Dušan and Stojanovic, Vladeta and Trapp, Matthias and Richter, Rico and Hajdin, Rade and Döllner, Jürgen", year = "2020", 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."", publisher = "Elsevier", journal = "Automation in Construction", title = "Bridge damage: Detection, IFC-based semantic enrichment and visualization", volume = "112", doi = "10.1016/j.autcon.2020.103088" }
Isailović, D., Stojanovic, V., Trapp, M., Richter, R., Hajdin, R.,& Döllner, J.. (2020). Bridge damage: Detection, IFC-based semantic enrichment and visualization. in Automation in Construction Elsevier., 112. https://doi.org/10.1016/j.autcon.2020.103088
Isailović D, Stojanovic V, Trapp M, Richter R, Hajdin R, Döllner J. Bridge damage: Detection, IFC-based semantic enrichment and visualization. in Automation in Construction. 2020;112. doi:10.1016/j.autcon.2020.103088 .
Isailović, Dušan, Stojanovic, Vladeta, Trapp, Matthias, Richter, Rico, Hajdin, Rade, Döllner, Jürgen, "Bridge damage: Detection, IFC-based semantic enrichment and visualization" in Automation in Construction, 112 (2020), https://doi.org/10.1016/j.autcon.2020.103088 . .