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contributor authorCan Jin
contributor authorFeilong Zou
contributor authorXu Yang
contributor authorZhanping You
date accessioned2019-09-18T10:36:47Z
date available2019-09-18T10:36:47Z
date issued2019
identifier other%28ASCE%29MT.1943-5533.0002766.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4259390
description abstractSphericity, 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.
publisherAmerican Society of Civil Engineers
title3D Quantification for Aggregate Morphology Using Surface Discretization Based on Solid Modeling
typeJournal Paper
journal volume31
journal issue7
journal titleJournal of Materials in Civil Engineering
identifier doi10.1061/(ASCE)MT.1943-5533.0002766
page04019123
treeJournal of Materials in Civil Engineering:;2019:;Volume ( 031 ):;issue: 007
contenttypeFulltext


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