3 Dimensional Flow Measurement at Heading Face and Application of CFD. Analysis of environmental conditions at heading face with auxiliary ventilation (2nd Report).

Nakayama, Shinsuke; 伸介, 中山; 健一, 内野; Uchino, Kenji; Inoue, M.; 雅弘, 井上

doi:10.2473/shigentosozai.112.638

Cited by 24 publications

(6 citation statements)

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“…The inlet boundary is assumed to be a uniform distribution of wind speed. The characteristics of the turbulent air flow are considered, and it is assumed that the turbulence kinetic energy (Nakayama et al, 1996;Tao, 2001) is k in ¼ 0:005u 2 in and the dissipation rate of the turbulence kinetic energy is e in ¼ Nakayama et al, 1996;Tao, 2001), where C l = 0.085 is the experimental constant and D e is the equivalent diameter of the air duct (m).…”

Section: Solving Boundary Conditionsmentioning

confidence: 99%

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Numerical simulation of TBM construction ventilation in a long diversion tunnel

Wang

Zhang

Zhou

et al. 2011

Tunnelling and Underground Space Technology

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Section: Solving Boundary Conditionsmentioning

confidence: 99%

“…Wang et al (2003), Nakayama et al (1996), Gao and Zhang (2004), Zhang (2003) and Parra et al (2006) have used high-Reynolds k-e models to simulate the airflow of the working face of the mine roadway. Snee and Javadi (1996) predicted the risk of mine tunnel pressure associated with air leakage by simulating compressed air in soils.…”

Section: Introductionmentioning

confidence: 98%

Numerical simulation of TBM construction ventilation in a long diversion tunnel

Wang

Zhang

Zhou

et al. 2011

Tunnelling and Underground Space Technology

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Section: Inroductionmentioning

confidence: 99%

“…Nakayama et al [3] [4] (1996, 1998) determined airflow and methane concentration field and simulated using fluid dynamic method. Wang et al [3] (2003) and Parra et al [6] (2006) predicted the 3D velocity field in the mine, respectively. Airflow and heat transfer effects of ventilation in the operation of underground powerhouse had been investigated using k ε − turbulent model considering buoyancy by Wang et al [7] (2003), Li et al [7] (2004) and Han et al [9] (2005), respectively.…”

Section: Inroductionmentioning

confidence: 99%

“…(1) Inlet boundary [3] [16] : Uniform distribution is assumed for velocity components, kinetic of turbulence and the energy dissipation rate. The velocity components, turbulent kinetic energy and turbulence dissipation rate are got by (3) Wall boundary: The impermeable wall is taken as wall boundaries, at which the no-slip and rough boundary conditions are applied directly.…”

Section: Boundary Conditionsmentioning

confidence: 99%

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3D Simulation on CO Diffusion in the Underground Powerhouse Construction

Wang

Chuang

Liu

et al. 2008

2008 2nd International Conference on Bioinformatics and Biomedical Engineering

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Ventilation is of important in the underground powerhouse construction. Under forced ventilation, the CO diffusion of construction was investigated using a 3D high Reynolds number k ε − model. The interfacial momentum transfers were considered. The wall roughness was considered in the wall function. Ventilation on the first layer of underground powerhouse of Xiangjiaba hydropower station was used as a case. It is concluded that the CO concentration decreases gradually with the increasing of the ventilation time. However, iso-concentration curves have the same tendency after 1200s. The CO concentration meets the ventilation and dust-prevention health standard after 1850s. It shows the uvelocity exhibited obvious difference adjacent to the heading face. The prediction by the present model is confirmed by the experimental measurement by Nakayama.

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The impacts of the axial-to-radial airflow quantity ratio and suction distance on air curtain dust control in a fully mechanized coal face

Wang

Cheng

Sun

et al. 2017

Environ Sci Pollut Res

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To understand the impacts of the axial-to-radial airflow quantity ratio (denoted as R) and the suction distance (denoted as D) on air curtain dust control in a fully mechanized coal face, the 3610 coal face in Jiangzhuang coal mine was numerically simulated in this study. A mathematic model was established to describe the airflow migration and dust diffusion in a coal face, and a scaled physical model was constructed. The comparison between simulation results and field measurements validated the model and the parameter settings. Furthermore, the airflow migration and dust diffusion at various R and D are analyzed using Ansys CFD. The results show that a reduction of R and D is conducive to the formation of an effective axial dust control air curtain; the dust diffusion distance decreases with the decrease of both R and D. By analyzing the simulation results, the optimal parameter for air curtain dust control in the 3610 coal face and those faces with similar production conditions is determined as R = 1/9 and D = 2 m. Under the optimal parameter condition, the high-concentration dust can be confined in front of the mining driver within a space 5.8 m away from the coal face.

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3 Dimensional Flow Measurement at Heading Face and Application of CFD. Analysis of environmental conditions at heading face with auxiliary ventilation (2nd Report).

Cited by 24 publications

References 0 publications

Numerical simulation of TBM construction ventilation in a long diversion tunnel

Numerical simulation of TBM construction ventilation in a long diversion tunnel

3D Simulation on CO Diffusion in the Underground Powerhouse Construction

The impacts of the axial-to-radial airflow quantity ratio and suction distance on air curtain dust control in a fully mechanized coal face

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