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A New Method for Characterizing Coarse Aggregate Morphology through a MATLAB Program
In order to accurately and efficiently characterizing coarse aggregate morphological features, a newly-developed approach is presented in this paper based on MATLAB program analysis of X-ray CT images. The X-ray CT images of coarse aggregates were obtained through scanning individual aggregate particles. A MATLAB program was developed to process the images and perform the Fourier analysis. The key output of the MATLAB-based imaging process is the Fourier Functions which represent the surface morphological features of coarse aggregate particles. Through this new method, a three-dimension model of coarse aggregates could be built. It was validated that the Fourier Function-based aggregate digital model had a very close similarity to its original aggregate shape. Based on the research findings, it was observed that: 1) the newly developed method had high accuracy and efficiency; 2) based on the two-dimensional and three-dimensional validation, it could be concluded that the Fourier Functions determined with the newly-developed MATLAB code were accurate and could be used to represent mineral aggregate surface morphological features.
A New Method for Characterizing Coarse Aggregate Morphology through a MATLAB Program
In order to accurately and efficiently characterizing coarse aggregate morphological features, a newly-developed approach is presented in this paper based on MATLAB program analysis of X-ray CT images. The X-ray CT images of coarse aggregates were obtained through scanning individual aggregate particles. A MATLAB program was developed to process the images and perform the Fourier analysis. The key output of the MATLAB-based imaging process is the Fourier Functions which represent the surface morphological features of coarse aggregate particles. Through this new method, a three-dimension model of coarse aggregates could be built. It was validated that the Fourier Function-based aggregate digital model had a very close similarity to its original aggregate shape. Based on the research findings, it was observed that: 1) the newly developed method had high accuracy and efficiency; 2) based on the two-dimensional and three-dimensional validation, it could be concluded that the Fourier Functions determined with the newly-developed MATLAB code were accurate and could be used to represent mineral aggregate surface morphological features.
A New Method for Characterizing Coarse Aggregate Morphology through a MATLAB Program
Gong, Fanyuan (author) / Yao, Shun (author) / Liu, Yu (author) / You, Zhanping (author) / Wang, Hainian (author)
Fourth Geo-China International Conference ; 2016 ; Shandong, China
Geo-China 2016 ; 53-60
2016-07-21
Conference paper
Electronic Resource
English
A New Method for Characterizing Coarse Aggregate Morphology through a MATLAB Program
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