Abstract
Bridges are designed to last for more than 50 years and consume up to 50% of their life cycle costs during their operation phase. Several inspections and maintenance actions take place within this period, during which bridge and damage information is collected, digitized and exchanged between different actors. Currently, the inspection and maintenance practice relies on paper based data collection and exchange, which is time consuming and error prone. A way of storing and exchanging damage data in a digital format would lower the costs for inspection and maintenance as well as support future needs, i.e. immediate simulations, automated maintenance planning and mixed reality supported inspections and maintenance. For this purpose, the paper presents and tests concepts for modeling damage information by the means of the Industry Foundation Classes (IFC) without extending or changing the existing IFC Schema. First, multiple use cases and related requirements for damage information are defined. This information is used to develop multiple concepts to model damage information by using existing IFC entities. The implementation and tests of the concepts will show that the IFC provide several meaningful ways to model damage information. However, existing IFC software does not fully support the concepts of IFC, particularly when visualizing specific entities.
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Acknowledgments
We thank the “Thüringer Landesamt für Bau und Verkehr” for their support with knowledge from practice in bridge inspection and statistical data about bridges in federal state of Thuringia in Germany. Further, we thank Mr. Mohamed Said Helmy Alabassy for creating the IFC test files during his student project.
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Artus, M., Koch, C. (2021). Modeling Physical Damages Using the Industry Foundation Classes – A Software Evaluation. In: Toledo Santos, E., Scheer, S. (eds) Proceedings of the 18th International Conference on Computing in Civil and Building Engineering. ICCCBE 2020. Lecture Notes in Civil Engineering, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-030-51295-8_36
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