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Автор Reynolds, A M
Дата выпуска 1997-05-31
dc.description A Lagrangian stochastic model, a generalization of the Langevin equation to inhomogeneous flows, is developed for the simulation of particle trajectories within inhomogeneous turbulent flows. For homogeneous flows the model yields a Gaussian distribution of velocity and is exactly consistent with Thomson's well-mixed condition. For inhomogeneous flows: the model takes explicit account of the non-Gaussian distribution of velocity; Thomson's well-mixed condition is satisfied approximately to second order; whilst third- and higher-order moments of the velocity distribution are determined by the modelled dynamics. The model is shown to predict mean particle concentrations within a three-dimensional inhomogeneous turbulent flow (a ventilating air flow) in accord with experimental findings. These predictions are contrasted with those obtained using Thomson's model which exactly satisfies the well-mixed condition for inhomogeneous Gaussian turbulence. The results support the view that third- and higher-order moments of velocity are of secondary importance in determining particle dispersion in highly inhomogeneous turbulent flows when compared to the effects of strong mean-streamline straining and large gradients in Reynolds-stress.
Формат application.pdf
Издатель Institute of Physics Publishing
Копирайт © 1997 The Japan Society of Fluid Mechanics and IOP Publishing Ltd
Название A Lagrangian stochastic model for particle trajectories in non-Gaussian turbulent flows
Тип paper
DOI 10.1016/S0169-5983(96)00050-0
Electronic ISSN 1873-7005
Print ISSN 0169-5983
Журнал Fluid Dynamics Research
Том 19
Первая страница 277
Последняя страница 288
Аффилиация Reynolds, A M; Silsoe Research Institute, Wrest Park, Silsoe, Bedford MK45 4HS, UK
Выпуск 5

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