3D Quantification for Aggregate Morphology Using Surface Discretization Based on Solid ModelingSource: Journal of Materials in Civil Engineering:;2019:;Volume ( 031 ):;issue: 007DOI: 10.1061/(ASCE)MT.1943-5533.0002766Publisher: American Society of Civil Engineers
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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contributor author | Can Jin | |
contributor author | Feilong Zou | |
contributor author | Xu Yang | |
contributor author | Zhanping You | |
date accessioned | 2019-09-18T10:36:47Z | |
date available | 2019-09-18T10:36:47Z | |
date issued | 2019 | |
identifier other | %28ASCE%29MT.1943-5533.0002766.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4259390 | |
description 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. | |
publisher | American Society of Civil Engineers | |
title | 3D Quantification for Aggregate Morphology Using Surface Discretization Based on Solid Modeling | |
type | Journal Paper | |
journal volume | 31 | |
journal issue | 7 | |
journal title | Journal of Materials in Civil Engineering | |
identifier doi | 10.1061/(ASCE)MT.1943-5533.0002766 | |
page | 04019123 | |
tree | Journal of Materials in Civil Engineering:;2019:;Volume ( 031 ):;issue: 007 | |
contenttype | Fulltext |