Ke Gao, Qiwen Li, Lianzeng Shi, Aobo Yang, Zhipeng Qi
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引用次数: 0
摘要
工作面后方的顶板掘进阶梯式岩层对该区域的自燃和瓦斯浓度分布非常敏感,包括许多岩块裂缝和孔洞。代表元素体积(REV)与多孔介质中的流体动力学严重偏离,导致计算流体动力学(CFD)模拟结果误差很大。为了精确模拟鹅卵石流,我们建立了一个异质二维孔隙网络模型。首先使用 OpenPNM 软件包中的简单立方晶格创建了该网络,并将 "O 型环 "膨胀因子的空间分布映射到该网络中。将膨胀因子和 Weibull 分布相结合,得出网络中孔隙和孔喉的大小分布。对构建的孔隙网络模型进行了单相流模拟。研究通过鹅卵石的冒落特征确定了孔隙网络的孔隙结构参数,并描述了流场在鹅卵石中的分布特征。渗透系数随孔隙直径、喉管直径、孔隙体积和喉管体积的增大而增大,随喉管长度的减小而减小。其中,喉管容积与渗透系数的相关性最大,这表明整个喉管是控制沼泽地空气输送能力的主要控制因素。这些结果可为控制沼泽热动力灾害提供一些指导。
Study of the Flow Field and Permeability Characteristics in the Goaf using the OpenPNM Package
The roof-caving step scale goaf behind the working face is sensitive to the region’s spontaneous combustion and gas concentration distribution, including many rock block cracks and holes. A severe deviation from the dynamics of fluids in porous media by representative element volume (REV), leading to the results of Computational Fluid Dynamics (CFD) simulation, has a significant error. A heterogeneous two-dimensional pore network model was established to simulate the goaf flow accurately. The network was first created using the simple cubic lattice in the OpenPNM package, and the spatial distribution of the “O-ring” bulking factor was mapped to the network. The bulking factor and Weibull distribution were combined to produce the size distribution of the pore and throat in the network. The constructed pore network model was performed with single-phase flow simulations. The study determined the pore structure parameters of the pore network through the goaf’s risked falling characteristics and described the flow field’s distribution characteristics in the goaf. The permeability coefficient increases as pore diameter, throat diameter, pore volume and throat volume increase and increases as throat length decreases. The correlation between throat volume and permeability coefficient is the highest, which indicates that the whole throat is the main control factor governing the air transport capacity in the goaf. These results may provide some guidelines for controlling thermodynamic disasters in the goaf.
期刊介绍:
Archives of Mining Sciences (AMS) is concerned with original research, new developments and case studies in mining sciences and energy, civil engineering and environmental engineering. The journal provides an international forum for the publication of high quality research results in:
mining technologies,
mineral processing,
stability of mine workings,
mining machine science,
ventilation systems,
rock mechanics,
termodynamics,
underground storage of oil and gas,
mining and engineering geology,
geotechnical engineering,
tunnelling,
design and construction of tunnels,
design and construction on mining areas,
mining geodesy,
environmental protection in mining,
revitalisation of postindustrial areas.
Papers are welcomed on all relevant topics and especially on theoretical developments, analytical methods, numerical methods, rock testing, site investigation, and case studies.