论文部分内容阅读
应用速度-浓度双分布格子 Boltzmann模型建立了基于LBM的瓦斯蔓延速度模型和浓度模型,并通过Boussinesq方程将2个模型有机耦合起来。采用基于分块耦合算法的速度-浓度LBM模型将巷道分成若干规则的块,对各块分别独立计算,仅在边界处交换数据,从而去除冗余网格,简化了网格计算,提高了系统资源利用效率。模拟实例结果表明,通过该模型可得到集中涌出瓦斯在通风网络中蔓延的直观信息和其速度、体积分数、压力等大量数据,还可以得到每条巷道内瓦斯体积分数峰值及其个数、位置和到达时间,从而能提供有效避开高浓度瓦斯的方案。集中涌出瓦斯在通风网络中蔓延一段时间后总体体积分数会降低,但是由于某些位置(如巷道拐角、巷道风流交汇处)的风流处于紊流状态,其瓦斯体积分数相对比较高,人员进入矿井时应尽量避免在这些地方停留。
The velocity and concentration double distribution lattice Boltzmann model was used to establish the gas propagation velocity model and concentration model based on LBM, and the two models were coupled by Boussinesq equation. The speed-concentration LBM model based on the block coupling algorithm is used to divide the roadway into several regular blocks, and the blocks are calculated separately and the data are exchanged only at the boundaries, thus removing the redundant grid, simplifying the grid calculation and improving the system Resource utilization efficiency. The simulation results show that the model can get the intuitionistic information of concentrated gushed gas spreading in the ventilation network and the large amount of data such as velocity, volume fraction and pressure. The peak value and the number of gas volume fraction in each tunnel can also be obtained, Location and arrival time, which can provide an effective solution to avoid the high concentrations of methane. Concentration of gas gushed out in the ventilation network will reduce the overall volume fraction after a period of ventilation. However, due to the turbulent airflow in some locations (such as the corner of the roadway and the confluence of the tunnels), the gas volume fraction is relatively high, Mine should try to avoid staying in these places.