Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A BIM Based Framework for Damage Segmentation, Storage, and Visualization

Version 1 : Received: 22 December 2021 / Approved: 6 January 2022 / Online: 6 January 2022 (17:45:29 CET)

How to cite: Artus, M.; Alabassy, M.; Koch, C. A BIM Based Framework for Damage Segmentation, Storage, and Visualization. Preprints 2022, 2022010094 (doi: 10.20944/preprints202201.0094.v1). Artus, M.; Alabassy, M.; Koch, C. A BIM Based Framework for Damage Segmentation, Storage, and Visualization. Preprints 2022, 2022010094 (doi: 10.20944/preprints202201.0094.v1).

Abstract

Current bridge inspection practices rely on paper-based data acquisition, digitization, and multiple conversions in between incompatible formats to facilitate data exchange. This practice is time-consuming, error-prone, cumbersome, and leads to information loss. One aim for future inspection procedures is to have a fully digitized workflow that achieves loss-free data exchange, which lowers costs and offers higher efficiency. 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 through out different stakeholders. However, those studies do not cover the process of automatic data acquisition and transfer. This study focused 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.

Keywords

Building Information Modeling; defects; damage information modeling; life cycle; bridges; inspection; maintenance

Subject

ENGINEERING, Civil Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.