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    3D Quantification for Aggregate Morphology Using Surface Discretization Based on Solid Modeling

    Source: Journal of Materials in Civil Engineering:;2019:;Volume ( 031 ):;issue: 007
    Author:
    Can Jin
    ,
    Feilong Zou
    ,
    Xu Yang
    ,
    Zhanping You
    DOI: 10.1061/(ASCE)MT.1943-5533.0002766
    Publisher: 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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      3D Quantification for Aggregate Morphology Using Surface Discretization Based on Solid Modeling

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4259390
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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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    DSpace software copyright © 2002-2015  DuraSpace
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