3D Quantification for Aggregate Morphology Using Surface Discretization Based on Solid Modeling
Publication: Journal of Materials in Civil Engineering
Volume 31, Issue 7
Abstract
Sphericity, form dimensions, and angularity are important morphological properties of aggregates that significantly affect the microstructure of grain-based materials and their macromechanical performance. The objective of this paper was to quantify aggregate morphology, including sphericity index (SI), dimension index (DI), and angularity index (AI) based on three-dimensional (3D) solid modeling. The methodology consisted of three main steps, as follows: (1) the 3D solid model of each aggregate was developed from X-ray computed tomography (CT) imaging; (2) the model surface was discretized into triangle facets, and the vertexes of facets were used to accurately retrieve the minimum bounding sphere (MBS) and the minimum bounding box (MBB) of the aggregate model for SI and DI calculation, respectively; and (3) consequently, the facets were well clustered to represent aggregate angles for their magnitude measurements, which were used to quantify the AI. The 3D SI, DI, and AI of 11 grains were measured virtually with the proposed approach, which indicates the benefits of the 3D method in the accurate quantification of aggregate sphericity, form dimensions, and angularity.
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Acknowledgments
The research reported in this paper was supported by the National Natural Science Foundation of China (Grant Nos. 51508147 and 51708114); the support is greatly appreciated.
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Published In
Journal of Materials in Civil Engineering
Volume 31 • Issue 7 • July 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Oct 16, 2018
Accepted: Jan 29, 2019
Published online: May 7, 2019
Published in print: Jul 1, 2019
Discussion open until: Oct 7, 2019
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