Evidence map›Paper›PMID 39685241›Full record

ArticleMaterials (Basel, Switzerland)2024

The Distributions and Dependences of 3D Particle Morphology Characteristics for Crushed and Natural Sands by X-Ray uCT Investigations.

Hao Yang, Xu Li, Junhui Zhang, Zhengbo Hu, Shengnan Li

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hao YangKey Laboratory of Highway Engineering of Ministry of Education, Changsha University of Science & Technology, Changsha 410114, China.
Xu LiKey Laboratory of Highway Engineering of Ministry of Education, Changsha University of Science & Technology, Changsha 410114, China.
Junhui ZhangKey Laboratory of Highway Engineering of Ministry of Education, Changsha University of Science & Technology, Changsha 410114, China.
Zhengbo HuKey Laboratory of Highway Engineering of Ministry of Education, Changsha University of Science & Technology, Changsha 410114, China.
Shengnan LiKey Laboratory of Highway Engineering of Ministry of Education, Changsha University of Science & Technology, Changsha 410114, China.

Funding

National Natural Science Foundation of China No. 52208421, No. 52025085, No. 52361165623
6 · The paper itself

Abstract

The morphology of an individual particulate refers to its shape characteristics and size properties, which both play important roles for granular matter in physics, mechanics, chemistry, and biology. In this study, ellipsoidality is defined as a 3D shape index for evaluating particle roundness, and an explicit calculation method is applied. The dependences of 3D shape characteristics (aspect ratios, sphericity, and ellipsoidal degree) on particle size (ranges from 0.063 mm to 5.0 mm) are adequately investigated with the X-ray micro-computed microtomography (uCT) imaging for hundreds of thousands of particles of crushed and natural sands. This study focuses on comparing and evaluating the specific surface area and equivalent diameter, suggesting that particle segregation and changes in surface area may explain the strong dependence of particle shape on size. The correlation between different shape metrics was analyzed by comparing crushed sand with natural sand to provide theoretical support for material filling and mechanical behaviour. The significant differences in the microscale particle size indexes of different sands by single grading are used to provide data references for further analyses of the effect of material microscale on material properties in future discrete element particle simulations.

Indexed as

3D shape characteristicscrushed and natural sandsellipsoidal degreemicroscale size propertiesspecific surfaceX-ray uCT

Identifiers

PMID39685241
PMCPMC11641949

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