Publication Date:
2023-08-03
Description:
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:
English
Type:
article
,
doc-type:article
Permalink