Application of Automatic Image Processing for Characterisation of Particle Shape
The size and shape of aggregate in concrete is of high relevance to the density of concrete materials and therefore is important parameters for the performance of concrete materials such as strength and durability. The conventional indirect method to determine aggregate angularity is by means of experimental packing density measurements. This paper is explicitly focusing on modern methodology of quantitative image processing to characterize particle shape in concrete. An example of application is presented for shape characterisation of two types of aggregates, gravel of fluvial origin and crushed rock, respectively. Fourier analysis can efficiently describe more detailed structure information, such as surface roughness and texture of the aggregate grains. Only a small part of the conventional shape parameters (such as roundness, circularity, elongation ratio, sphericity and flakiness) are sensitive to shape variations and can be correlated with angularity of the aggregate. As a promising alternative, Fourier coefficients can be used to describe the shape, surface roughness and texture of the aggregate grains. In addition, a new shape index is proposed on the basis of Fourier analysis, which has been demonstrated able to incorporate sufficient shape information, and can be used directly to estimate packing density- of the investigated aggregate. The proposed methodology is of high relevance to economy and ecology considerations in concrete technology.
Aggregate image processing Fourier analysis shape characterisation.
Hu Jiangping Hu Jing
Faculty of Mechanical Engineering Wuhan Polytechnic University Wuhan, China Faculty of Civil Engineering and Geosciences, Delft University of Technology Delft, The Netherlands
国际会议
海口
英文
39-43
2011-07-15（万方平台首次上网日期，不代表论文的发表时间）