PaSR-SDE: Premixed turbulent combustion with stochastic mixing models simulator

Software Impacts(2023)

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摘要
Approaches based on Probability Density Function Differential Equation (PDF-DE) have been used for modeling premixed turbulent combustion under Eulerian frame reference, but their solution requires the diffusion phenomena to be closed. In this context, Stochastic Differential Equations (SDEs) are an alternative method to solve the PDF-DE under a Lagrangian reference. PaSR-SDE is a Matlab package that solves the Partially Stirred Reactor mathematical formulation that takes into account mixing models for the closure of the term describing the scalar diffusion, and it is also used as a numerical tool in evaluating the influence of several mixing models on the thermochemical properties in a premixed turbulent combustion situation.
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关键词
Partially stirred reactor,Probability Density Function,Premixed turbulent combustion,Mixing models,Stochastic Differential Equation,Monte Carlo simulation
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