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3D shape analysis for high performance grout

: Schladitz, K.; Godehardt, M.

Abstract (PDF; )

Univ. of Liege:
14th International Congress for Stereology and Image Analysis, ICSIA 2015. Proceedings. Abstracts. Online resource : 6-10 July 2015, Liège, Belgium
Liège, 2015
2 pp.
International Congress for Stereology and Image Analysis (ICSIA) <14, 2015, Liège>
Conference Paper, Electronic Publication
Fraunhofer ITWM ()
volume images; computed tomography; particle separation; shape features; object characteristics

Aggregates of grains like sand, grit, and gravel are important ingredients of building materials like asphalt, concrete, or grout. The grain mixture highly determines the rheological and mechanical properties of the final material. State of the art is to control the size distribution by sieving using normed sieves. The grains shapes are obviously not captured that way. However, packing densities and along with them the resulting mechanical properties of the mixtures do depend on the joint size and shape distribution. Here, we therefore examine various shape characteristics based on 3D image data of grit beds.