Digital sieving of pervious concrete air voids using X-ray computed tomography

DOI

10.2991/apte-18.2019.7How to use a DOI?

Keywords

pervious concrete, x-ray computed tomography, volumetric segmentation, air voids, digital sieving

Abstract

The design and quality assessment of the pervious concrete mixtures based on its structural and functional performance are greatly influenced by the microstructural properties of the internal pore structure. The main objective of this study is to investigate the internal pore structure properties of two different pervious concrete mixtures (gap graded mixtures with nominal maximum aggregate sizes including 9.5mm and 12.5mm) using X-Ray computed tomography and digital image processing. Image segmentation algorithms based on the histogram and laboratory volumetric characteristics of the pervious concrete mixtures have been utilised for the CT scan images. The key microstructural parameters of the air voids such as effective porosity, pore volume distribution, surface area distribution, elongation, flatness and shape factor distributions of the two different mixtures. It is expected that the developed procedure will serve as a valuable tool with potential applications in the current design methods of the pervious concrete pavements.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ajay Jagadeesh
AU  - Ghim Ong
AU  - Yu-Min Su
PY  - 2019/10
DA  - 2019/10
TI  - Digital sieving of pervious concrete air voids using X-ray computed tomography
BT  - Proceedings of the 11th Asia Pacific Transportation and the Environment Conference (APTE 2018)
PB  - Atlantis Press
SP  - 294
EP  - 298
SN  - 2352-5401
UR  - https://doi.org/10.2991/apte-18.2019.7
DO  - 10.2991/apte-18.2019.7
ID  - Jagadeesh2019/10
ER  -