Minkowski Sum–Enhanced 3D Mesoscale Structure Model for Concrete with High Aggregate Volume Fractions

This paper presents a novel and efficient method for generating three-dimensional (3D) mesoscale structures of concrete using the discrete element method (DEM). The proposed approach enables the flexible and precise simulation of various aggregate shapes and volume fractions, which is crucial for sensitivity analysis and computational studies. Unlike traditional digitalization methods, this technique focuses on creating adjustable synthetic models to investigate the impact of different parameters on the mechanical properties of concrete. This technique demonstrates significant advantages in generating complex concave aggregates and high aggregate volume fraction models while allowing for flexible control of particle spacing, thus enhancing computational efficiency and model accuracy. Numerical simulations using the proposed method show excellent agreement with laboratory experimental results, validating its reliability. This method not only facilitates deeper sensitivity analysis but also aids in optimizing concrete designs and applications by providing insights into the effects of various parameters on concrete performance.

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Publication Details

Journal
Journal of Engineering Mechanics
Published
2024-11-26
DOI
https://doi.org/10.1061/jenmdt.emeng-7691
Citations
1
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
0.27
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article

Minkowski Sum–Enhanced 3D Mesoscale Structure Model for Concrete with High Aggregate Volume Fractions

Jiuchang Zhang, Ning Guo, Qingxiang Meng, Kai-Feng Fan
1 citations
Journal of Engineering Mechanics
Rock Mechanics and Modeling
0.27
article

Minkowski Sum–Enhanced 3D Mesoscale Structure Model for Concrete with High Aggregate Volume Fractions

Jiuchang Zhang, Ning Guo, Qingxiang Meng, Kai-Feng Fan
article en
1 citations

Abstract

This paper presents a novel and efficient method for generating three-dimensional (3D) mesoscale structures of concrete using the discrete element method (DEM). The proposed approach enables the flexible and precise simulation of various aggregate shapes and volume fractions, which is crucial for sensitivity analysis and computational studies. Unlike traditional digitalization methods, this technique focuses on creating adjustable synthetic models to investigate the impact of different parameters on the mechanical properties of concrete. This technique demonstrates significant advantages in generating complex concave aggregates and high aggregate volume fraction models while allowing for flexible control of particle spacing, thus enhancing computational efficiency and model accuracy. Numerical simulations using the proposed method show excellent agreement with laboratory experimental results, validating its reliability. This method not only facilitates deeper sensitivity analysis but also aids in optimizing concrete designs and applications by providing insights into the effects of various parameters on concrete performance.

Journal of Engineering MechanicsVol. 151(2)
Minzu University of China (CN), Hohai University (CN), Zhejiang University (CN)
Sustainable cities and communities
Openalex Percentile: Top 48%
Rock Mechanics and Modeling
0.27
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