Abstract
This paper deals with the pilot characterization of a special alkali-activated aluminosilicate composite composed of waste brick powder, brick rubble and a solution of potassium water glass. Fracture tests were conducted on the specimens via three-point bending and fracture parameters were evaluated. Selected specimen was investigated using micro-tomography to supplement the results with visual information about the inner structure of this newly designed material before and after the mechanical loading. Tomographic measurements and image processing were conducted for a qualitative and quantitative assessment of changes in the internal structure with an emphasis on the calculation of porosimetric parameters and visualization of the fracture surface. Fractal dimension of fracture surface was estimated.
Highlights
A thorough understanding of the initialization process and the formation of cracks and their propagation in various materials is essential in many engineering fields and applications, as one of the crucial safety and economic factors for the preservation of existing and development of new construction [1,2,3]
Before and after the fracture test in three-point bending, one of the specimens was investigated using microtomography to supplement the results with the visual information about the inner structure of the proposed material
The region of interest (ROI) shown in Figure 3 was subsequently selected from both models, large enough not to lose its meaningful value, not including the areas of the surrounding air and initiating notch, which would interfere with further processing
Summary
A thorough understanding of the initialization process and the formation of cracks and their propagation in various materials is essential in many engineering fields and applications, as one of the crucial safety and economic factors for the preservation of existing and development of new construction [1,2,3]. It is necessary to realize that the values of voxels forming the 3D image information is given by a huge range of variables, starting with the parameters of the examined object (e.g. thickness, density, proton number of atoms in individual structures, etc.) through the parameters of the X-ray radiation (e.g. accelerating voltage, efficiency of energy transformation to photon radiation, filtration, etc.) and used detector (e.g. method of the transmitted radiation detection and its conversion to a digital signal, size of pixel matrix, point spread function, sensibility, etc.) to parameters of resulting 3D matrix (e.g. method of reconstruction, image correction, data type, etc.) For this reason, it is generally not possible to determine exactly the threshold for the separation of structures of interest (e.g. voids, fibers, inclusions, etc.) from other present structures. The results may be affected by a relatively large error and should be checked / paired using other methods
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