Abstract

The airflow and micro-particle dispersion in a 3-D ventilated scaled room has been simulated numerically. The flow field was studied by the Eulerian method using a Reynolds Averaged Navier-Stokes model, and we used the Lagrangian approach to solve the equations of particle motion. The purpose is to evaluate and compare various discrete random walk methods (DRW) and continuous random walk methods (CRW) to evaluate particle concentration distribution in indoor environments. The isotropic DRW method’s performance has been compared with models in which anisotropy of turbulence is applied, including CRW and modified DRW models based on near-wall direct numerical simulation results, near-wall kinetic energy, and the helicity of the flow. The results reveal that the isotropic DRW method can predict particle concentration in the indoor environment, and using a modified DRW model is not necessary.

摘要

对 3D 通风缩放房间中的气流和微粒分散进行了数值模拟。使用雷诺平均纳维-斯托克斯模型通过欧拉方法研究流场，并使用拉格朗日方法求解粒子运动方程。目的是评估和比较各种离散随机游走方法（DRW）和连续随机游走方法（CRW）来评估室内环境中的颗粒浓度分布。各向同性 DRW 方法的性能与应用湍流各向异性的模型进行了比较，包括 CRW 和基于近壁直接数值模拟结果、近壁动能和流动螺旋度的改进 DRW 模型。结果表明，各向同性 DRW 方法可以预测室内环境中的颗粒物浓度，