Abstract
Polypropylene fiber‐reinforced concrete (PFRC) is a cement‐based composite material with short‐cut fibers which has been utilized to provide multidimensional reinforcement and enhance toughness of concrete. However, this improvement is closely related to the microstructural morphology of the concrete. A nondestructive technique using X‐ray computed tomography (CT) was therefore used to grasp the microscopic texture of PFRC samples. The results showed that the orientation of microcracks, which appear in the interfacial transition zone, are along the surface of the coarse aggregate. The range of distribution of fibers is proportional to fiber volume fraction. The coarse aggregate influence distribution and orientation of polypropylene fibers whose shape are mainly fold line and curve. The dispersion of pores with small volume is uniform, and the distance between the pores with larger volume is short. The proportion of pores with the diameter in the range 0∼199 μm exceeds 70%, of which the sum of volume exceeds a half of total volume with the amount being about 1% of total amount.
Highlights
E fiber-reinforced concrete with computed tomography has been highlighted in a number of investigations
Bordelon and Roesler [5] quantified dispersion of synthetic fibers within concrete using X-ray computed tomography combined with a postprocessing image analysis
Zhou and Uchida [8] evaluated steel fiber orientation/distribution throughout the ultra-high performance fiber-reinforced concrete using image analysis and 3D visualization of fiber orientation based on X-ray computed tomography data
Summary
To make the image easy to analyze and identify, important information such as coarse aggregate, polypropylene fiber, and pores are highlighted, and secondary information such as mortar are weakened. E 2D projection image needs to be segmented in order that the selected pixels are extracted and given the corresponding mark of material, before the 3D image reconstruction. E automatic threshold method may cause errors, such as coarse aggregates confused with cement mortar. In order to accurately extract the components of the sample, this experiment uses an effectual combination of a manual threshold method and automatic segmentation. Digitized 3D images e aggregate has the highest gray value with the bright white color in the projection image.
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