@inproceedings{PaetschBaumProhaskaetal., author = {Paetsch, Olaf and Baum, Daniel and Prohaska, Steffen and Ehrig, Karsten and Meinel, Dietmar and Ebell, Gino}, title = {3D Corrosion Detection in Time-dependent CT Images of Concrete}, series = {DIR-2015 Proceedings}, booktitle = {DIR-2015 Proceedings}, abstract = {In civil engineering, the corrosion of steel reinforcements in structural elements of concrete bares a risk of stability-reduction, mainly caused by the exposure to chlorides. 3D computed tomography (CT) reveals the inner structure of concrete and allows one to investigate the corrosion with non-destructive testing methods. To carry out such investigations, specimens with a large artificial crack and an embedded steel rebar have been manufactured. 3D CT images of those specimens were acquired in the original state. Subsequently three cycles of electrochemical pre-damaging together with CT imaging were applied. These time series have been evaluated by means of image processing algorithms to segment and quantify the corrosion products. Visualization of the results supports the understanding of how corrosion propagates into cracks and pores. Furthermore, pitting of structural elements can be seen without dismantling. In this work, several image processing and visualization techniques are presented that have turned out to be particularly effective for the visualization and segmentation of corrosion products. Their combination to a workflow for corrosion analysis is the main contribution of this work.}, language = {en} } @inproceedings{EhrigGoebbelsMeineletal.2011, author = {Ehrig, Karsten and Goebbels, J{\"u}rgen and Meinel, Dietmar and Paetsch, Olaf and Prohaska, Steffen and Zobel, Valentin}, title = {Comparison of Crack Detection Methods for Analyzing Damage Processes in Concrete with Computed Tomography}, series = {International Symposium on Digital Industrial Radiology and Computed Tomography}, booktitle = {International Symposium on Digital Industrial Radiology and Computed Tomography}, year = {2011}, language = {en} } @inproceedings{PaetschBaumEhrigetal.2012, author = {Paetsch, Olaf and Baum, Daniel and Ehrig, Karsten and Meinel, Dietmar and Prohaska, Steffen}, title = {Automated 3D Crack Detection for Analyzing Damage Processes in Concrete with Computed Tomography}, series = {Proceedings of Conference on Industrial Computed Tomography}, booktitle = {Proceedings of Conference on Industrial Computed Tomography}, pages = {321 -- 330}, year = {2012}, language = {en} } @inproceedings{MeinelEhrigLhostisetal.2014, author = {Meinel, Dietmar and Ehrig, Karsten and Lhostis, Valrie and Muzeau, Benoist and Paetsch, Olaf}, title = {Examination of Damage Processes in Concrete with CT}, series = {Proceedings of Conference on Industrial Computed Tomography}, booktitle = {Proceedings of Conference on Industrial Computed Tomography}, year = {2014}, language = {en} } @article{JungNowackaBarisinetal., author = {Jung, Christian and Nowacka, Anna and Barisin, Tin and Meinel, Dietmar and Paetsch, Olaf and Grzesiak, Szymon and Salamon, Michael and Schladitz, Katja and Redenbach, Claudia and Pahn, Matthias}, title = {3d imaging and analysis of cracks in loaded concrete samples. 12th Conference on Industrial Computed Tomography (iCT) 2023, 27 February - 2 March 2023 in F{\"u}rth, Germany}, series = {e-Journal of Nondestructive Testing}, volume = {28}, journal = {e-Journal of Nondestructive Testing}, number = {3}, doi = {10.58286/27721}, abstract = {Concrete plays a central role as the standard building material in civil engineering. Experimental characterization of the concrete microstructure and a description of failure mechanisms are important to understand the concrete's mechanical properties. Computed tomography is a powerful source of information as it yields 3d images of concrete specimens. However, complete visual inspection is often infeasible due to very large image sizes. Hence, automatic methods for crack detection and segmentation are needed. A region-growing algorithm and a 3d U-Net showed promising results in a previous study. Cracks in normal concrete and high-performance concrete that were initiated via tensile tests were investigated. Here, the methods are validated on a more diverse set of concrete types and crack characteristics. Adequate adaptions of the methods are necessary to deal with the complex crack structures. The segmentation results are assessed qualitatively and compared to those of a template matching algorithm which is well-established in industry.}, language = {en} }