Chord (peer-to-peer)

Biomedical engineering

Materials science

Mineralogy

Computed tomography

Air entrainment

Computer science

Distributed computing

Radiology

Porosity

Tomography

Physics

Optics

Composite material

Medicine

Chemistry

Void (composites)

Materials Characterization

This study aims to more accurately investigate the pore size distribution of air voids in cement-based materials. For this purpose, micro-computed tomography (micro-CT) images were used to describe the inner structure of target materials, without damaging them. Together with the data obtained and the imaging techniques used, the pore structures of the specimens were visualized in 3D, with the pore size distributions being investigated using a volume-based method. The chord-length distribution, another approach to describe heterogeneous pore characteristics, was computed from 3D micro-CT images and compared with the conventional method. A RapidAir 457, an automated air void analyzer, was also used as a reference, with the results obtained being quantitatively and qualitatively compared using several curve fitting algorithms. The correlation between the pore characteristics and the mechanical properties of the specimens was examined, with the results indicating that the pore size distribution described using chord-length distribution is more effective than the conventional volume-based method. The results obtained can be utilized to investigate and predict material properties.

Comparison of the pore size distributions of concretes with different air-entraining admixture dosages using 2D and 3D imaging approaches