2012
DOI: 10.1016/j.buildenv.2012.02.027
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An experimental study of bioaerosol (1–10 μm) deposition in a ventilated chamber

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Cited by 13 publications
(17 citation statements)
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“…The dispersion of particles as a consequence of turbulence in the flow field can be tracked through stochastic tracking methods. The discrete random walk (DRW) model, a popular approach that takes velocity fluctuations into account, was employed in this study (Lai et al 2012). Further details for the CFD simulations are summarized in Table 1.…”
Section: Particle Modellingmentioning
confidence: 99%
“…The dispersion of particles as a consequence of turbulence in the flow field can be tracked through stochastic tracking methods. The discrete random walk (DRW) model, a popular approach that takes velocity fluctuations into account, was employed in this study (Lai et al 2012). Further details for the CFD simulations are summarized in Table 1.…”
Section: Particle Modellingmentioning
confidence: 99%
“…However, realistic aerosols are nonspherical, which would influence the aerosol concentration, orientation and distribution, the particle deposition speed, and settling behaviour [41,42]. For instance, Lai et al reported both laboratory and numerical investigations on bioaerosol deposition within a ventilation chamber [43]. Better comparisons between experiment and numerical results were achieved when the nonspherical aerosol shape was considered.…”
Section: Influencing Analysis Of Bend-induced Depositionmentioning
confidence: 99%
“…15,18,19 where F bp is the force acting on a bioaerosol particle (N), F drag is the drag force (N), F grav is the gravity force, and F SL is Saffman’s lift force for an inviscid fluid. 20,21 F Brown is the Brownian force for submicron bioaerosol particle. 22 In addition, the Cunningham slip correction factor f slip was also recommended in drag force F drag in the submicron range in equation (2).…”
Section: Two-phase Flow Cfd Models For Bioaerosol Particle Simulationmentioning
confidence: 99%