Title |
Evaluation of Void Distribution on Lightweight Aggregate Concrete Using Micro CT Image Processing |
Keywords |
lightweight concrete;voids;lightweight aggregate;micro CT;image processing;probability distribution functions;경량 콘크리트;공극;경량 골재;이미지 분석;확률 분포 함수 |
Abstract |
Spatial distribution of void space in concrete materials strongly affects mechanical and physical behaviors. Therefore, the identification of characteristic void distribution helps understand material properties and is essential to estimate the integrity of material performance. The 3D micro CT (X-ray microtomography) is implemented to examine and to quantify the void distribution of a lightweight aggregate concrete using an image analysis technique and probabilistic approach in this study. The binarization and subsequent stacking of 2D cross-sectional images virtually create 3D images of targeting void space. Then, probability distribution functions such as two-point correlation and lineal-path functions are applied for void characterization. The lightweight aggregates embedded within the concrete are individually analyzed to construct the intra-void space. Results shows that the low-order probability functions and the density distribution based on the 3D micro CT images are applicable and useful methodology to characterize spatial distribution of void space and constituents in concrete. |