High concentration tailings suspension is attracting increasingly more attention due to its environmental and economic benefits. The interaction between non-Newtonian carrier and coarse particles in high concentration suspensions is still poorly understood, particularly in a turbulent regime. This paper presents a DNS-DEM model for weakly turbulent coarse-particle non-Newtonian suspensions. Matching experiments were conducted for validation. The predicted mixture flow rates and concentration profiles were in good agreement with experiments and mostly less than 10% difference. The validated model was applied to investigate how the carrier rheology affect the flow behaviour. The flows all displayed stratification and particles were able to settle in the weakly turbulent regime. Turbulence in the lower portion of the pipe was damped with the presence of concentrated particles thus became ineffective in re-suspending the particles. A stronger coupling between the fluid and particles was found for flow with a higher yield stress, however this beneficial effect was compromised by the presence of weaker turbulence. The combined effect contributed to only slightly improved solids suspension in flow with a higher yield stress. The DNS-DEM model can be used to quantitatively determine the influence of different flow parameters on pipeline performance under a wide range of operating conditions.

高浓度尾矿悬浮液因其环境和经济效益而越来越受到关注。非牛顿载体与高浓度悬浮液中粗颗粒之间的相互作用仍然知之甚少，尤其是在湍流状态下。本文提出了一种用于弱湍流粗颗粒非牛顿悬浮液的 DNS-DEM 模型。进行匹配实验以进行验证。预测的混合物流速和浓度分布与实验非常吻合，差异大多小于 10%。应用验证模型来研究载体流变学如何影响流动行为。流动都显示分层，颗粒能够在弱湍流状态下沉降。由于浓缩颗粒的存在，管道下部的湍流被阻尼，因此在重新悬浮颗粒方面变得无效。对于具有更高屈服应力的流动，发现流体和颗粒之间的耦合更强，但是这种有益效果因存在较弱的湍流而受到损害。综合效应仅略微改善了流动中的固体悬浮液，并具有更高的屈服应力。DNS-DEM 模型可用于定量确定不同流量参数在各种工况下对管道性能的影响。然而，这种有益效果因较弱湍流的存在而受到损害。综合效应仅略微改善了流动中的固体悬浮液，并具有更高的屈服应力。DNS-DEM 模型可用于定量确定不同流量参数在各种工况下对管道性能的影响。然而，这种有益效果因较弱湍流的存在而受到损害。综合效应仅略微改善了流动中的固体悬浮液，并具有更高的屈服应力。DNS-DEM 模型可用于定量确定不同流量参数在各种工况下对管道性能的影响。