A digitalized 2D particle database for statistical shape analysis and discrete modeling of rock aggregate

Lianheng Zhao; Shuaihao Zhang; Dongliang Huang; Xiang Wang

doi:10.1016/j.conbuildmat.2019.117906

A digitalized 2D particle database for statistical shape analysis and discrete modeling of rock aggregate

Lianheng Zhao, Shuaihao Zhang, Dongliang Huang, Xiang Wang

Research output: Journal article publication › Journal article › Academic research › peer-review

37 Citations (Scopus)

Abstract

Obtaining geometric information of rock aggregates is a requisite process for numerical simulation and experimental investigation of their macroscopic and microscopic properties. In this study, a systematic framework is first established to create a digitalized 2D particle database for the shape evaluation and discrete modeling of rock aggregates. Then, the shape indexes of 2D rock aggregates are computed and statistically analyzed. Subsequently, a series of computational geometry algorithms are employed to generate numerical samples. Finally, numerical simulations are carried out to quantitatively investigate the effects of the aspect ratio on the macro- and micro-mechanical properties of 2D rock aggregates based on PFC^2D.

Original language	English
Article number	117906
Journal	Construction and Building Materials
Volume	247
DOIs	https://doi.org/10.1016/j.conbuildmat.2019.117906
Publication status	Published - 30 Jun 2020
Externally published	Yes

Keywords

Angle of repose
Biaxial shear test
Discrete element method
Rock aggregate
Shape index database
Statistical analysis

ASJC Scopus subject areas

Civil and Structural Engineering
Building and Construction
General Materials Science

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10.1016/j.conbuildmat.2019.117906

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title = "A digitalized 2D particle database for statistical shape analysis and discrete modeling of rock aggregate",

abstract = "Obtaining geometric information of rock aggregates is a requisite process for numerical simulation and experimental investigation of their macroscopic and microscopic properties. In this study, a systematic framework is first established to create a digitalized 2D particle database for the shape evaluation and discrete modeling of rock aggregates. Then, the shape indexes of 2D rock aggregates are computed and statistically analyzed. Subsequently, a series of computational geometry algorithms are employed to generate numerical samples. Finally, numerical simulations are carried out to quantitatively investigate the effects of the aspect ratio on the macro- and micro-mechanical properties of 2D rock aggregates based on PFC2D.",

keywords = "Angle of repose, Biaxial shear test, Discrete element method, Rock aggregate, Shape index database, Statistical analysis",

author = "Lianheng Zhao and Shuaihao Zhang and Dongliang Huang and Xiang Wang",

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AU - Zhao, Lianheng

AU - Zhang, Shuaihao

AU - Huang, Dongliang

AU - Wang, Xiang

PY - 2020/6/30

Y1 - 2020/6/30

N2 - Obtaining geometric information of rock aggregates is a requisite process for numerical simulation and experimental investigation of their macroscopic and microscopic properties. In this study, a systematic framework is first established to create a digitalized 2D particle database for the shape evaluation and discrete modeling of rock aggregates. Then, the shape indexes of 2D rock aggregates are computed and statistically analyzed. Subsequently, a series of computational geometry algorithms are employed to generate numerical samples. Finally, numerical simulations are carried out to quantitatively investigate the effects of the aspect ratio on the macro- and micro-mechanical properties of 2D rock aggregates based on PFC2D.

AB - Obtaining geometric information of rock aggregates is a requisite process for numerical simulation and experimental investigation of their macroscopic and microscopic properties. In this study, a systematic framework is first established to create a digitalized 2D particle database for the shape evaluation and discrete modeling of rock aggregates. Then, the shape indexes of 2D rock aggregates are computed and statistically analyzed. Subsequently, a series of computational geometry algorithms are employed to generate numerical samples. Finally, numerical simulations are carried out to quantitatively investigate the effects of the aspect ratio on the macro- and micro-mechanical properties of 2D rock aggregates based on PFC2D.

KW - Angle of repose

KW - Biaxial shear test

KW - Discrete element method

KW - Rock aggregate

KW - Shape index database

KW - Statistical analysis

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DO - 10.1016/j.conbuildmat.2019.117906

M3 - Journal article

AN - SCOPUS:85080901905

SN - 0950-0618

VL - 247

JO - Construction and Building Materials

JF - Construction and Building Materials

M1 - 117906

ER -

A digitalized 2D particle database for statistical shape analysis and discrete modeling of rock aggregate

Abstract

Keywords

ASJC Scopus subject areas

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