(中南大学 资源与安全工程学院，长沙 410083)
摘 要: 为优化充填管网参数及研究充填料浆管道输送特性，考虑将充填倍线N、充填管径D、质量浓度c 3个影响因素进行正交设计并进行计算流体力学(CFD)试验，之后对试验结果进行极差、方差及回归拟合分析，并结合数值分析方法探讨最大流速的预测计算模型。结果表明：影响沿程阻力损失、影响最大流速的敏感性、显著性皆为D＞c＞N，且3个因素均为显著因素；得到最佳充填倍线N为3.0~4.0，质量分数c为65%~68%，充填管径D为110~120 mm，再经筛选剩下5组合适参数。研究3个因素变化对沿程阻力损失、最大流速的影响，并建立一个反映三因素下最大流速νmax的综合数学预测模型，并利用这5组对其验证，模型计算值与试验模拟值差率都在15%以下，证明预测模型有效。
关键字: 充填采矿；计算流体力学；充填管网；数值分析
（School of Resources and Safety Engineering, Central South University, Changsha 410083, China）
Abstract:The orthogonal experiment and the computational fluid dynamics technology(CFD) based on three influence factors including backfilling times line(N), pipeline diameter(D), slurry concentration(c) were estimated, which was used to study the parameter optimization of backfilling pipe network and the transportation characteristics of backfilling slurry. And then, the test results of 25 groups were analyzed by the means of range, variance and regression analysis, and based on numerical analysis, the formulation was established for predicting the maximum flow velocity. The results show that the sensitivity, the significance degree ranking of the resistance loss and the maximum flow velocity all meet the relationship of D＞c＞N, all of these three factors are significant. The best proportioning scheme is the backfilling times line N of 3.0-4.0, the pipeline diameter D of 65%-68%, the slurry concentration c of 110-120 mm, after screening, the five combinations left in the end. The effects of three factors on resistance loss and maximum flow velocity were studied, and the formulation was established for predicting the maximum flow velocity. The prediction model is valid by verifying with the five groups, and the difference between the calculated values of the model and the experimental simulation values is below 15%.
Key words: filling method; computational fluid dynamics; backfilling pipe network; numerical analysis
