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<p>In this study, 3D numerical models for fresh concrete are established based on computational fluid dynamics (CFD) and discrete element method (DEM), respectively, and the comparative analysis is conducted to explore their advantages and characteristics in simulating the flowability of fresh concrete. To validate the reliability of proposed models, the simulated results are compared with experimental data obtained from this paper and other literature. According to the applicability of each numerical method, the influence of rheological parameters and coarse aggregate properties on the flowability of fresh concrete is further investigated. The findings indicate that both CFD and DEM models are capable of accurately predicting the flowability of fresh concrete, as evidenced by the strong correlation between the simulated and experimental results. The CFD model provides valuable insights into the rheological mechanisms governing the flow behavior of fresh concrete, while the DEM model excels at capturing the influence of constituent material properties. Within the specified ranges of yield stress (200–350&#xa0;Pa) and plastic viscosity (30–60&#xa0;Pa·s), an increase in the rheological parameters of the concrete mixture results in a decrease in both slump and slump flow. The relationship between coarse aggregate particle size and flowability is found to be non-monotonic, with slump and slump flow initially increasing and then decreasing as the maximum particle size increases from 16 to 31.5&#xa0;mm. Additionally, when the density of coarse aggregates increases from 2.3 to 2.9&#xa0;g/cm<sup>3</sup>, both slump and slump flow exhibit an increasing trend.</p>

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A comparative study on numerical modeling of flowability of fresh concrete based on CFD and DEM

  • 期刊论文

  • 发表日期：

    2025年11月14日

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  • Yuxin Cai,
  • Zesen Peng,
  • Ghimire Prateek,
  • Qing-xiang Xiong,
  • Qiang Wang,
  • Qing-feng Liu

摘要

In this study, 3D numerical models for fresh concrete are established based on computational fluid dynamics (CFD) and discrete element method (DEM), respectively, and the comparative analysis is conducted to explore their advantages and characteristics in simulating the flowability of fresh concrete. To validate the reliability of proposed models, the simulated results are compared with experimental data obtained from this paper and other literature. According to the applicability of each numerical method, the influence of rheological parameters and coarse aggregate properties on the flowability of fresh concrete is further investigated. The findings indicate that both CFD and DEM models are capable of accurately predicting the flowability of fresh concrete, as evidenced by the strong correlation between the simulated and experimental results. The CFD model provides valuable insights into the rheological mechanisms governing the flow behavior of fresh concrete, while the DEM model excels at capturing the influence of constituent material properties. Within the specified ranges of yield stress (200–350 Pa) and plastic viscosity (30–60 Pa·s), an increase in the rheological parameters of the concrete mixture results in a decrease in both slump and slump flow. The relationship between coarse aggregate particle size and flowability is found to be non-monotonic, with slump and slump flow initially increasing and then decreasing as the maximum particle size increases from 16 to 31.5 mm. Additionally, when the density of coarse aggregates increases from 2.3 to 2.9 g/cm3, both slump and slump flow exhibit an increasing trend.