Imaging Systems and Algorithms for the Numerical Characterization of 3D Shapes of Particle Aggregates

P. Giordano, D. Barrot, J. Corriveau, S. Mandayam, B. Sukumaran
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引用次数: 4

Abstract

The properties of geomaterial aggregates, mainly flow and shear characteristics, are significantly dependent on the shapes of the particles in the mixture. 3D particle models that have been previously developed to quantify this dependence have proved complex and expensive. This paper describes an optical tomography technique for the acquisition of real particle data that can be characterized using 3D shape descriptors. The algebraic reconstruction technique (ART) is used to synthesize 3D particle shapes from 2D tomography projections. Results demonstrating the efficacy of the method on a set of sand mixtures are presented.
粒子聚集体三维形状数值表征的成像系统和算法
土工材料集合体的特性,主要是流动和剪切特性,很大程度上取决于混合物中颗粒的形状。先前开发的用于量化这种依赖性的3D粒子模型已被证明是复杂且昂贵的。本文描述了一种光学层析成像技术,用于获取可使用三维形状描述符表征的真实粒子数据。采用代数重建技术(ART)从二维层析成像投影合成三维粒子形状。结果证明了该方法在一组砂混合物上的有效性。
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