蒋仲安, 曾发镔, 冯 雪, 等. 高海拔隧道爆破后粉尘污染动力学模型及影响因素[J]. 煤炭学报, 2023, 48(1): 263-278.
引用本文: 蒋仲安, 曾发镔, 冯 雪, 等. 高海拔隧道爆破后粉尘污染动力学模型及影响因素[J]. 煤炭学报, 2023, 48(1): 263-278.
JIANG Zhong’an, ZENG Fabin, FENG Xue, et al. Dynamic model and influencing factors of dust pollution after blasting in high altitude tunnel[J]. Journal of China Coal Society, 2023, 48(1): 263-278.
Citation: JIANG Zhong’an, ZENG Fabin, FENG Xue, et al. Dynamic model and influencing factors of dust pollution after blasting in high altitude tunnel[J]. Journal of China Coal Society, 2023, 48(1): 263-278.

高海拔隧道爆破后粉尘污染动力学模型及影响因素

Dynamic model and influencing factors of dust pollution after blasting in high altitude tunnel

  • 摘要: 为降低高海拔隧道钻爆法施工爆破后的粉尘污染,提高隧道掘进工作面粉尘防治技术和职 业健康保障能力,推动施工隧道清洁化生产水平。 依托西南某铁路隧道工区为背景建立隧道爆破 掘进压入式通风模型,根据气固两相流理论与气溶胶力学构建高海拔隧道粉尘污染动力学模型。 运用数值模拟软件分析不同海拔高度、通风距离以及通风风量条件下的爆破驱动掘进工作面,高浓 度粉尘污染效应,并采用灰色关联分析法探究粉尘质量浓度降低至安全值所需时间与各影响因素 之间的关联度。 研究结果表明:海拔高度上升将引起的环境参数与气固耦合流体运动特性的改变, 粉尘颗粒水平运移速度与海拔高度和粉尘粒径均呈负相关,竖直沉降速度与之相反。 高海拔隧道 爆破后粉尘质量浓度空间分布服从多元高斯分布,且扩散系数随海拔高度的上升而增大。 隧道内 风流场分布区域分为涡流区、过渡区以及稳定区,涡流区呈锥形且中心的风速小于周围区域的风 速,隧道断面平均风速降低至约 0.3 m/ s 并逐渐稳定。 爆破后粉尘颗粒随风流向隧道外呈“⊃字 型”运移,隧道回风侧的粉尘质量浓度大于风管侧。 爆破后产生的大颗粒粉尘(粒径≥30 μm)在距 掘进工作面 100 m 范围内快速沉降,小颗粒粉尘将随风扩散并悬浮于隧道空间内,且扩散距离越 远,粉尘粒径越小。 高海拔环境下扩大风管出口至掘进工作面距离以及增加风管风量均有利于减 低隧道爆破后的粉尘污染效应,隧道内粉尘质量浓度降低至安全值所需时间受通风距离的影响最 大,通风风量的影响次之,而海拔高度的影响相对有限,其灰色关联度系数分别为 0.684、0.678 和 0.661。

     

    Abstract: In order to reduce the dust pollution caused by drilling and blasting in high altitude tunnel construction, im- prove the dust control technology and occupational health guarantee ability in tunneling face, and promote the clean production level in tunnel construction, the forced ventilation model of tunnel blasting was established on the basis of a working area in southwest railway tunnel, and the dust pollution dynamics model of high altitude tunnel was built according to the gas-solid two-phase flow theory and aerosol mechanics. The numerical simulation software was used to analyze the pollution effect of high-concentration dust in blasting-driven tunnel under different altitudes, ventila- tion distances and ventilation air volumes, and the grey correlation analysis method was used to explore the correlation between the time required for the dust concentration to decrease to a safe value and various influencing factors. The re- sults show that the environmental parameters and the movement characteristics of gas-solid coupling fluid will change with the elevation. The horizontal movement speed of dust particles is negatively correlated with elevation and dust par- ticle size, while the vertical settling speed is opposite. The spatial distribution of dust concentration after tunnel blas- ting at high altitude obeys multivariate Gaussian distribution, and the diffusion coefficient increases with the increase of altitude. The distribution area of wind field in tunnel is divided into vortex area, transition area and stable area. The vortex area is cone-shaped and the wind speed in the center is lower than that in the surrounding area. The average wind speed in tunnel section decreases to about 0. 3 m / s and gradually stabilizes. After blasting, the dust parti- cles move out of the tunnel in a “⊃” shape with the wind, and the dust concentration at the return air side of the tun- nel is higher than that at the air duct side. The large particle dust (particle size ≥30 μm) produced after blasting rapidly settles within 100 m from the tunnel face, and the small particle dust will diffuse with the wind and be suspen- ded in the tunnel space, and the farther the diffusion distance is, the smaller the particle size of the dust will be. With high tunnel altitude, expanding the distance between the outlet of air duct and the tunnel face and increas- ing the air volume of air duct are all beneficial to reduce the dust pollution effect after tunnel blasting. The time re- quired for the dust concentration in the tunnel to decrease to a safe value is most affected by the ventilation distance, followed by the air volume, while the influence of altitude is relatively limited, and its grey correlation coefficient is 0. 684, 0.678 and 0.661 respectively.

     

/

返回文章
返回