A BIM Based Framework for Damage Segmentation, Modeling, and Visualization Using IFC

  • Paper-based data acquisition and manual transfer between incompatible software or data formats during inspections of bridges, as done currently, are time-consuming, error-prone, cumbersome, and lead to information loss. A fully digitized workflow using open data formats would reduce data loss, efforts, and the costs of future inspections. On the one hand, existing studies proposed methods toPaper-based data acquisition and manual transfer between incompatible software or data formats during inspections of bridges, as done currently, are time-consuming, error-prone, cumbersome, and lead to information loss. A fully digitized workflow using open data formats would reduce data loss, efforts, and the costs of future inspections. On the one hand, existing studies proposed methods to automatize data acquisition and visualization for inspections. These studies lack an open standard to make the gathered data available for other processes. On the other hand, several studies discuss data structures for exchanging damage information among different stakeholders. However, those studies do not cover the process of automatic data acquisition and transfer. This study focuses on a framework that incorporates automatic damage data acquisition, transfer, and a damage information model for data exchange. This enables inspectors to use damage data for subsequent analyses and simulations. The proposed framework shows the potentials for a comprehensive damage information model and related (semi-)automatic data acquisition and processing.show moreshow less

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  • Gefördert durch das Programm Open Access Publizieren der DFG und den Publikationsfonds der Bauhaus-Universität Weimar.

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Metadaten
Document Type:Article
Author: Mathias ArtusORCiDGND, Mohamed Said Helmy AlabassyORCiD, Prof. Dr.-Ing. Christian KochORCiDGND
DOI (Cite-Link):https://doi.org/10.3390/app12062772Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20220314-46059Cite-Link
URL:https://www.mdpi.com/2076-3417/12/6/2772
Parent Title (English):Applied Sciences
Publisher:MDPI
Place of publication:Basel
Language:English
Date of Publication (online):2022/03/08
Date of first Publication:2022/03/08
Release Date:2022/03/14
Publishing Institution:Bauhaus-Universität Weimar
Institutes and partner institutions:Fakultät Bauingenieurwesen / Professur Intelligentes Technisches Design
Volume:2022
Issue:volume 12, issue 6, article 2772
Pagenumber:24
First Page:1
Last Page:24
Tag:Bridge; Building Information Modeling; Damage Segmentation; Inspection; Machine Learning
GND Keyword:Building Information Modeling; Brücke; Inspektion; Maschinelles Lernen; Bildverarbeitung
Dewey Decimal Classification:600 Technik, Medizin, angewandte Wissenschaften / 620 Ingenieurwissenschaften / 624 Ingenieurbau
BKL-Classification:50 Technik allgemein / 50.16 Technische Zuverlässigkeit, Instandhaltung
Open Access Publikationsfonds:Open-Access-Publikationsfonds 2022
Licence (German):License Logo Creative Commons 4.0 - Namensnennung (CC BY 4.0)