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Appl. Sci. 2018, 8(5), 738; https://doi.org/10.3390/app8050738

Algorithm for Virtual Aggregates’ Reconstitution Based on Image Processing and Discrete-Element Modeling

1
School of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China
2
School of Transportation, Southeast University, 2 Sipailou, Nanjing 210096, China
3
School of Engineering and Architecture, Nanjing Institute of Technology, Nanjing 211167, China
*
Author to whom correspondence should be addressed.
Received: 15 February 2018 / Revised: 9 April 2018 / Accepted: 3 May 2018 / Published: 7 May 2018
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Abstract

Based on the Aggregate Imaging Measurement System (AIMS) and the Particle Flow Code in Two Dimensions (PFC2D), an algorithm for modeling two-dimensional virtual aggregates was proposed in this study. To develop the virtual particles precisely, the realistic shapes of the aggregates were captured by the AIMS firstly. The shape images were then processed, and the morphological characteristics of aggregates were quantified by the angularity index. By dividing the particle irregular shape into many triangle areas and adjusting the positions of the generated balls via coordinate systems’ conversion within PFC2D, the virtual particles could be reconstructed accurately. By calculating the mapping area, the gradations in two-dimensions could be determined. Controlled by two variables (μ_1 and μ_2), which were drawn from the uniform distribution (0, 1), the virtual particles forming the specimens could be developed with random sizes and angular shapes. In the end, the rebuilt model of the SMA-13 aggregate skeleton was verified by the virtual penetration tests. The results indicated that the proposed algorithm can not only model the realistic particle shape and gradations precisely, but also predict its mechanical behavior well. View Full-Text
Keywords: algorithm; aggregates; reconstitution; image processing; virtual modelling algorithm; aggregates; reconstitution; image processing; virtual modelling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Wang, D.; Ding, X.; Ma, T.; Zhang, W.; Zhang, D. Algorithm for Virtual Aggregates’ Reconstitution Based on Image Processing and Discrete-Element Modeling. Appl. Sci. 2018, 8, 738.

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