(中南大學(xué) 資源與安全工程學(xué)院，長(zhǎng)沙 410083)
摘 要: 為優(yōu)化充填管網(wǎng)參數(shù)及研究充填料漿管道輸送特性，考慮將充填倍線N、充填管徑D、質(zhì)量濃度c 3個(gè)影響因素進(jìn)行正交設(shè)計(jì)并進(jìn)行計(jì)算流體力學(xué)(CFD)試驗(yàn)，之后對(duì)試驗(yàn)結(jié)果進(jìn)行極差、方差及回歸擬合分析，并結(jié)合數(shù)值分析方法探討最大流速的預(yù)測(cè)計(jì)算模型。結(jié)果表明：影響沿程阻力損失、影響最大流速的敏感性、顯著性皆為D＞c＞N，且3個(gè)因素均為顯著因素；得到最佳充填倍線N為3.0~4.0，質(zhì)量分?jǐn)?shù)c為65%~68%，充填管徑D為110~120 mm，再經(jīng)篩選剩下5組合適參數(shù)。研究3個(gè)因素變化對(duì)沿程阻力損失、最大流速的影響，并建立一個(gè)反映三因素下最大流速νmax的綜合數(shù)學(xué)預(yù)測(cè)模型，并利用這5組對(duì)其驗(yàn)證，模型計(jì)算值與試驗(yàn)?zāi)M值差率都在15%以下，證明預(yù)測(cè)模型有效。
關(guān)鍵字: 充填采礦；計(jì)算流體力學(xué)；充填管網(wǎng)；數(shù)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
