RissBeton
Crack detection in CT images of concrete specimen
3D visualization of a cracksystem
Description
Non-destructive testing (NDT) method such as computer tomography (CT) are more and more used as imaging techniques to analyze the inner structure and to detect flaws in concrete specimen. In this project algorithms have been developed to find cracks automatically in CT images of concrete. The goal is to quantify damage processes in cementious material in space and time. Three different crack detection methods have been evaluated. The statistical evaluation of detected cracks and the tracking of single cracks over several frost-thaw cycles are future project goals. Further information is available on the detailed project description.
Members
Olaf Paetsch
Daniel Baum
David Breßler
Valentin Zobel (–9/2011)
Robert Seiler (–3/2011)
Responsible
Partners
Funding
BAM Federal Institute for Materials Research and Testing, Berlin
Duration
08/2010 – 06/2013
Publications
- K. Ehrig, J. Goebbels, D. Meinel, O. Paetsch, S. Prohaska, V. Zobel: Comparison of Crack Detection Methods for Analyzing Damage Processes in Concrete with Computed Tomography. in Proceedings of DIR-2011, 2011.
- O. Paetsch, D. Baum, K. Ehrig, D. Meinel, S. Prohaska: Automated 3D Crack Detection for Analyzing Damage Processes in Concrete with Computed Tomography. in Proceedings of ICT Conference 2012.
- O. Paetsch, D. Baum, K. Ehrig, D. Meinel, S. Prohaska: Vergleich automatischer 3-D-Risserkennungsmethoden für die quantitative Analyse der Schadensentwicklung in Betonproben mit Computer-Tomographie. in Proceedings of DACH-Jahrestagung 2012 (to appear).