3D quantification for aggregate morphology using surface discretization based on solid modeling

Can Jin, Feilong Zou, Xu Yang, Zhanping You

Research output: Contribution to journalArticleResearchpeer-review

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.

Original languageEnglish
Article number04019123
Number of pages11
JournalJournal of Materials in Civil Engineering
Volume31
Issue number7
DOIs
Publication statusPublished - 1 Jul 2019

Keywords

  • Form dimensions and angularity
  • Morphology
  • Sphericity
  • Three-dimensional (3D) solid modeling
  • X-ray computed tomography (CT)

Cite this

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title = "3D quantification for aggregate morphology using surface discretization based on solid modeling",
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. / Jin, Can; Zou, Feilong; Yang, Xu; You, Zhanping.

In: Journal of Materials in Civil Engineering, Vol. 31, No. 7, 04019123, 01.07.2019.

Research output: Contribution to journalArticleResearchpeer-review

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AB - 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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