입도 분포의 범위 제한과 표준편차의 변화에 따른 철광석 분말의 일축압축에서 하중과 변형률의 관계

초록

This study investigates the mechanical behavior of iron ore powder under uniaxial compression by combining the discrete element method (DEM) with particle size distribution (PSD) analysis. Numerical simulations were performed using the Hertz Mindlin contact model to evaluate the influence of the particle size range and – standard deviation on the load strain relationship. The simulation framework included particle generation, – redistribution, and relaxation to minimize the initial density effects before compression. The results indicate that the particle size range has a strong effect on the compressive resistance, as smaller particles fill the voids between larger particles, thereby increasing the load capacity. Conversely, variations in the standard deviation had a minimal impact on the overall load strain curve because the relative proportions of the small – particles remained relatively constant. These findings suggest that the particle size range plays a more critical role than the PSD standard deviation in determining the compressive behavior. These results highlight the importance of carefully controlling the particle size range for experimental and industrial applications. This integrated DEM-based approach provides a quantitative framework for predicting the macroscale behavior of granular materials.

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