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<p>This study investigates using full-scale computational fluid dynamics (CFD) modeling of the slope-induced airflow disturbances impacting dust transport generated by a Komatsu 830E truck operated near composite high-step slopes of open-pit coal mine. The Renormalization-group (RNG) k-ε turbulence model combined with discrete phase modeling elucidated gas–solid interactions across truck-slope distances (3–11.5 m). Slope critically restructured near-wall airflow, with gap distances below 5 m inducing exponential turbulence kinetic energy (TKE) growth through enhanced shear layer strain rates, correlating with 5.7% cabin wind speed reduction. Particle size segregation emerged, with ultrafine particles (≤ 10 μm) comprising over 42% of far-field dispersion at &gt; 8 m gaps, contrasting with 22.1% coarse particle (≥ 50 μm) reduction via near-wall deposition at &lt; 5 m. Optimal 5–8 m gaps balanced turbulence suppression (38.5% TKE decrease) and vertical dispersion control (20.1% coarse particle decay). The quantified coupling mechanism among slope distance, turbulence patterns, and particle segregation provides critical thresholds for the design of intelligent dust-suppression systems in open-pit mining operations.</p>

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Analysis of Slope-induced Airflow Disturbances on Dust Transport in Open-pit Coal Mining

  • 期刊论文

  • 发表日期：

    2026年5月9日

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  • Yongli Yan,
  • Junpeng Zhu,
  • Haopeng Wang,
  • Xinlu Zhao,
  • Jian Li,
  • Jiangshi Zhang

摘要

This study investigates using full-scale computational fluid dynamics (CFD) modeling of the slope-induced airflow disturbances impacting dust transport generated by a Komatsu 830E truck operated near composite high-step slopes of open-pit coal mine. The Renormalization-group (RNG) k-ε turbulence model combined with discrete phase modeling elucidated gas–solid interactions across truck-slope distances (3–11.5 m). Slope critically restructured near-wall airflow, with gap distances below 5 m inducing exponential turbulence kinetic energy (TKE) growth through enhanced shear layer strain rates, correlating with 5.7% cabin wind speed reduction. Particle size segregation emerged, with ultrafine particles (≤ 10 μm) comprising over 42% of far-field dispersion at > 8 m gaps, contrasting with 22.1% coarse particle (≥ 50 μm) reduction via near-wall deposition at < 5 m. Optimal 5–8 m gaps balanced turbulence suppression (38.5% TKE decrease) and vertical dispersion control (20.1% coarse particle decay). The quantified coupling mechanism among slope distance, turbulence patterns, and particle segregation provides critical thresholds for the design of intelligent dust-suppression systems in open-pit mining operations.