Reynolds AM
Silsoe Research Institute, Wrest Park, Silsoe, Bedford, England, MK45 4HS, United Kingdom
J Colloid Interface Sci. 1999 Jul 1;215(1):85-91. doi: 10.1006/jcis.1999.6251.
A Lagrangian stochastic model for the deposition of heavy particles from turbulent flows is presented. Heavy particles are treated as tracer particles moving in a virtual fluid having heavy particle velocity statistics. These velocity statistics are deduced from the particle momentum equation. The model satisfies the well-mixed condition for this virtual fluid and is consistent with similarity theory. Model agreement with experimental data for the "inertia-moderated" regime and the upper half of the "diffusion-impaction" regime (nondimensional particle relaxation time, tau+p > 5) is excellent. In accord with the results of direct numerical simulations for the diffusion-impaction regime, the model predicts a build-up of particle concentration in the viscous sublayer. Such a build-up concentration is not predicted by current Lagrangian stochastic models nor by models utilizing the "diffusion/free-flight" concept. Copyright 1999 Academic Press.
本文提出了一种用于描述湍流中重颗粒沉积的拉格朗日随机模型。重颗粒被视为在具有重颗粒速度统计特性的虚拟流体中运动的示踪颗粒。这些速度统计特性是从颗粒动量方程推导出来的。该模型满足此虚拟流体的充分混合条件,并且与相似理论一致。对于“惯性缓和” regime和“扩散碰撞” regime的上半部分(无量纲颗粒弛豫时间,tau + p > 5),模型与实验数据的吻合度非常好。与扩散碰撞 regime的直接数值模拟结果一致,该模型预测在粘性亚层中颗粒浓度会增加。当前的拉格朗日随机模型以及采用“扩散/自由飞行”概念的模型均未预测到这种浓度增加现象。版权所有1999年学术出版社。