Monte Carlo Simulations of Turbulent Non-premixed Combustion using a Velocity Conditioned Mixing Model
作者： Michael Stoellinger , Denis Efimov , Dirk Roekaerts
DOI: 10.1007/978-3-319-18206-3_7
关键词: Monte Carlo method 、 Statistical physics 、 Scalar (mathematics) 、 Turbulence 、 Conditional expectation 、 Turbulent combustion 、 Combustion 、 Lagrangian 、 Physics 、 Probability density function
摘要: Non-premixed turbulent combustion in a laboratory scale flame (Delft III flame) is studied using statistical description at the one-point one-time joint velocity—scalar composition probability density function (PDF) level. The PDF evolution equation solved stochastic Lagrangian Monte Carlo method. requires so called micro-mixing model for closure and performance of two models investigated. Interaction by Exchange with Mean (IEM) micro mixing most commonly adopted model. IEM was developed scalar method does not depend on velocity statistics. A physically more sound extension Conditional (IECM) which involves scalars towards mean values conditional velocity. Both are applied this work it shown that IECM perform significantly better than simple
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