This paper describes the application of the Eulerian, single-point, single-time joint-scalar probability density function (PDF) equation for predicting the scalar transport in mixing layer with a high-speed and a low-speed stream. A finite-volume procedure is applied to obtain the velocity field with the k-ɛ closure being used to describe turbulent transport. The scalar field is represented through the modelled evolution equation for the scalar PDF and is solved using a Monte Carlo simulation. The PDF equation employs gradient transport modelling to represent the turbulent diffusion, and the molecular mixing term is modelled by the LMSE closure. There is no source term for chemical reaction as only an inert mixing layer is considered here. ...
Fluid dynamics is the study of how liquids and gases move and how different forces affect their move...
The processes of entrainmentt and mixing are investigated in reacting and non-reacting, uniform dens...
A Lagrangian stochastic (LS) probability density function (PDF) model has been developed to study st...
In this paper, we investigate the application of probability density function (PDF) Monte Carlo meth...
In this Brief Communication we describe a consistent method for calculating the conditional scalar d...
Predicting the behavior of turbulent flows and how thermochemical properties develop such as tempera...
The joint ``velocity-scalar' filtered density function (FDF) methodology is developed and implemente...
In an effort towards understanding turbulent scalar mixing, we study the effect of molecular mixing,...
Arguments are presented to show that the concept of gradient diffusion is inapplicable to mixing in ...
Scalar turbulence exhibits interplays of coherent structures and random fluctuations over a broad ra...
Aspects of turbulent shear-layer mixing are investigated over a range of shear-layer Reynolds number...
The probability density function (PDF) method has been proven a very useful approach in turbulence r...
A statistical model is proposed for the turbulent premixed combustion regime when chemical reactions...
The purpose of this thesis has been to study and develop mathematical models of non-premixed turbule...
A Lagrangian micro-mixing numerical model estimates the concentration statistics of reactive polluta...
Fluid dynamics is the study of how liquids and gases move and how different forces affect their move...
The processes of entrainmentt and mixing are investigated in reacting and non-reacting, uniform dens...
A Lagrangian stochastic (LS) probability density function (PDF) model has been developed to study st...
In this paper, we investigate the application of probability density function (PDF) Monte Carlo meth...
In this Brief Communication we describe a consistent method for calculating the conditional scalar d...
Predicting the behavior of turbulent flows and how thermochemical properties develop such as tempera...
The joint ``velocity-scalar' filtered density function (FDF) methodology is developed and implemente...
In an effort towards understanding turbulent scalar mixing, we study the effect of molecular mixing,...
Arguments are presented to show that the concept of gradient diffusion is inapplicable to mixing in ...
Scalar turbulence exhibits interplays of coherent structures and random fluctuations over a broad ra...
Aspects of turbulent shear-layer mixing are investigated over a range of shear-layer Reynolds number...
The probability density function (PDF) method has been proven a very useful approach in turbulence r...
A statistical model is proposed for the turbulent premixed combustion regime when chemical reactions...
The purpose of this thesis has been to study and develop mathematical models of non-premixed turbule...
A Lagrangian micro-mixing numerical model estimates the concentration statistics of reactive polluta...
Fluid dynamics is the study of how liquids and gases move and how different forces affect their move...
The processes of entrainmentt and mixing are investigated in reacting and non-reacting, uniform dens...
A Lagrangian stochastic (LS) probability density function (PDF) model has been developed to study st...