Treffer: Experimental verification of permeability and inertial resistance coefficient model in the goaf.
Weitere Informationen
Numerical simulation is an important method of studying the flow, temperature, and concentration fields in the goaf. In a simulation, the permeability and inertial resistance coefficient are the key factors. For the verification of goaf permeability model, scholars usually use field data for verification. However, the site conditions of coal mine are complex, and the gas emission and air leakage in the goaf are difficult to control, which will lead to inaccurate verification of permeability model. Therefore, this paper verifies the goaf permeability model under experimental conditions, which can ensure that the experimental conditions are consistent with the numerical simulation conditions and realize the accurate verification of the model. An experimental scenario of a thermodynamic disasters in the goaf can be built, based on gas flow, and heat and mass transfer in porous media. The permeability and inertial resistance coefficient models can then be experimentally verified. Experimental results show that methane concentration increases with increased distance from the working face, hence the methane concentration in the return roadway side is higher than that in the intake roadway side. As distance from the coal seam floor increases, the methane concentration shows a downward trend. After releasing methane from the floor for 120 min, the concentration field inside the goaf stabilizes; therefore, coal spontaneous combustion experiments are started after a 120 minute lapse time period. In a numerical simulation, the goaf is the porous media seepage model, and the boundary conditions of the numerical model are set according to experimental conditions. The numerical simulation results concurred well with the experimental results; verifying the suitability of the authors' proposed goaf permeability and inertial resistance coefficient model. [ABSTRACT FROM AUTHOR]
Copyright of Energy Sources Part A: Recovery, Utilization & Environmental Effects is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)