直接数値計算法と確率密度関数法による反応性二次元噴流の数値計算

概要

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Direct numerical simulation (DNS) is combined with probability density function (PDF) methods to simulate turbulent reactive flows. DNS is performed to predict an instantaneous velocity field and an instantaneous mixture fraction, whereas reactive scalars are predicted by the PDF method, in which a transport equation of joint PDF of reactive scalars is solved by using a large number of particles. We develop a new model for a mixing timescale of mixing model, which is used in the PDF method. In the present model, the mixing timescale is estimated from the mixture fraction predicted by the DNS. The numerical simulation based on the DNS and the PDF method is applied to a reactive planar jet. The results show that the PDF method can accurately predict the statistics of mixture fraction, and the present model for the mixing timescale can implicitly take into account the effect of distance between two particles without adjusting any model parameters. It is also found that the PDF method can accurately predict the statistics of reactive scalars.