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PREDICTION OF PARTICLE DEPOSITION IN TURBULENT INDOOR FLOWS WITH A 3D LAGRANGIAN MODEL

机译:用3D拉格朗日模型预测湍流室内流动中的粒子沉积

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This study describes the development of a three dimensional (3D) Lagrangian code of particle transport in indoor turbulent flows. This approach consists of integrating transport equations for each particle at each time step to determine successive positions of the particle. The first challenge was to calculate instantaneous velocities of the airflow. The mean component of these velocities was calculated by a classic CFD code. A stochastic process based on the Gosman and Ioannides method generated the fluctuating component. Corrections were applied to better fit experimental results. The second challenge was the determination of the wall-particle interactions. These interactions were evaluated through the simulation of small-scale experiments to measure particles deposition on real textures encountered in building surfaces. Two kinds of boundary conditions were tested: a particle rebound probability and a critical velocity of rebound. The latter seems more appropriate for simulating the interaction between textures and 5.0 μm particles.
机译:本研究描述了在室内湍流中的三维(3D)拉格朗日代码的发展。该方法包括在每次步骤中对每个颗粒的传输方程集成,以确定粒子的连续位置。第一个挑战是计算气流的瞬时速度。这些速度的平均分量由经典的CFD码计算。基于GOSMAN和IOANNIDES方法的随机过程产生了波动分量。校正适用于更好的拟合实验结果。第二次挑战是确定壁颗粒相互作用。通过模拟小规模实验来评估这些相互作用,以测量建筑物表面遇到的真实纹理上的粒子沉积。测试了两种边界条件:粒子反弹概率和反弹的临界速度。后者似乎更适合模拟纹理和5.0μm颗粒之间的相互作用。

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