TY  - JOUR
A1  - Artus, Mathias
A1  - Alabassy, Mohamed Said Helmy
A1  - Koch, Christian
T1  - A BIM Based Framework for Damage Segmentation, Modeling, and Visualization Using IFC
JF  - Applied Sciences
N2  - 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 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.
KW  - Building Information Modeling
KW  - Brücke
KW  - Inspektion
KW  - Maschinelles Lernen
KW  - Bildverarbeitung
KW  - Building Information Modeling
KW  - Bridge
KW  - Inspection
KW  - Damage Segmentation
KW  - Machine Learning
KW  - OA-Publikationsfonds2022
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20220314-46059
UR  - https://www.mdpi.com/2076-3417/12/6/2772
VL  - 2022
IS  - volume 12, issue 6, article 2772
SP  - 1
EP  - 24
PB  - MDPI
CY  - Basel
ER  -