Velocity-scalar filtered density function for large eddy simulation of turbulent flows

2003 ◽  
Vol 15 (8) ◽  
pp. 2321-2337 ◽  
Author(s):  
M. R. H. Sheikhi ◽  
T. G. Drozda ◽  
P. Givi ◽  
S. B. Pope
AIAA Journal ◽  
2015 ◽  
Vol 53 (9) ◽  
pp. 2571-2587 ◽  
Author(s):  
M. R. H. Sheikhi ◽  
M. Safari ◽  
F. Hadi

2002 ◽  
Vol 14 (3) ◽  
pp. 1196-1213 ◽  
Author(s):  
L. Y. M. Gicquel ◽  
P. Givi ◽  
F. A. Jaberi ◽  
S. B. Pope

Processes ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1379
Author(s):  
Jacek Pozorski ◽  
Marta Wacławczyk

Turbulent flows featuring additional scalar fields, such as chemical species or temperature, are common in environmental and industrial applications. Their physics is complex because of a broad range of scales involved; hence, efficient computational approaches remain a challenge. In this paper, we present an overview of such flows (with no particular emphasis on combustion, however) and we recall the major types of micro-mixing models developed within the statistical approaches to turbulence (the probability density function approach) as well as in the large-eddy simulation context (the filtered density function). We also report on some trends in algorithm development with respect to the recent progress in computing technology.


2021 ◽  
pp. 1-25
Author(s):  
Reza Sheikhi ◽  
Fatemeh Hadi

Abstract The scalar filtered density function (FDF) methodology is extended and employed for large eddy simulation (LES) of turbulent flows under supercritical condition. To describe real-fluid behavior, the extended methodology incorporates the generalized heat and mass diffusion models along with real fluid thermodynamic relations which are derived using the cubic Peng-Robinson equation of state. These models are implemented within the stochastic differential equations comprising the scalar FDF transport. Simulations are conducted of a temporally developing mixing layer under supercritical condition and the results are assessed by comparing with data generated by direct numerical simulation (DNS) of the same layer. The consistency of the proposed FDF methodology is assessed. The LES-FDF predictions are shown to agree favorably with the DNS data and exhibit several key features pertaining to supercritical turbulent flows.


Author(s):  
M. Reza H. Sheikhi ◽  
Mehdi Safari ◽  
Hameed Metghalchi

A novel methodology is developed for local entropy generation analysis of turbulent flows using large eddy simulation (LES). The entropy transport equation is introduced in LES. The filtered form of this equation includes the unclosed subgrid scale entropy generation effects. The closure is based on the filtered density function (FDF) methodology, extended to include the transport of entropy. An exact transport equation is derived for the FDF. The unclosed terms in this equation is modeled by considering a system of stochastic differential equations. LES/FDF is employed to simulate a turbulent shear layer involving transport of mass, energy and entropy. The local entropy generation effects are obtained from the FDF and analyzed. It is shown that the dominant contribution to entropy generation in this flow is due to the combined effects of energy transfer by heat interaction and mass diffusion.


2012 ◽  
Vol 134 (4) ◽  
Author(s):  
M. R. H. Sheikhi ◽  
Mehdi Safari ◽  
Hameed Metghalchi

A new methodology is developed for local entropy generation analysis of turbulent flows using large eddy simulation (LES). The entropy transport equation is considered in LES and is solved along with continuity, momentum, and scalar transport equations. The filtered entropy equation includes several unclosed source terms that contribute to entropy generation. The closure is based on the filtered density function (FDF) methodology, extended to include the transport of entropy. An exact transport equation is derived for the FDF. The unclosed terms in this equation are modeled by considering a system of stochastic differential equations (SDEs). The methodology is employed for LES of a turbulent shear layer involving transport of passive chemical species, energy, and entropy. The local entropy generation effects are obtained from the FDF and are analyzed. It is shown that the dominant contribution to entropy generation in this flow is due to combined effects of energy transfer by heat and mass diffusion. The FDF results are assessed by comparing with those obtained by direct numerical simulation (DNS) of the same layer. The FDF predictions show favorable agreements with the DNS data.


2021 ◽  
Vol 33 (4) ◽  
pp. 045126
Author(s):  
Laura Pereira de Castro ◽  
Abgail Paula Pinheiro ◽  
Vitor Vilela ◽  
Gabriel Marcos Magalhães ◽  
Ricardo Serfaty ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document