Streamline segment statistics propagation in inhomogeneous turbulence

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
A. Rubbert ◽  
M. Albers ◽  
W. Schröder
Keyword(s):  
Inhomogeneous Turbulence

scholarly journals Temporal filtering: A consistent formalism for seamless hybrid RANS–LES modeling in inhomogeneous turbulence

2010 ◽  
Vol 31 (3) ◽  
pp. 378-389 ◽  
Author(s):  
Atabak Fadai-Ghotbi ◽  
Christophe Friess ◽  
Rémi Manceau ◽  
Thomas B. Gatski ◽  
Jacques Borée
Keyword(s):  
Temporal Filtering ◽  
Inhomogeneous Turbulence

Plane wave scattering in inhomogeneous turbulence

Radio Science ◽  
1978 ◽  
Vol 13 (6) ◽  
pp. 923-931 ◽  
Author(s):  
C. S. Gardner ◽  
P. C. Lam
Keyword(s):  
Plane Wave ◽  
Wave Scattering ◽  
Inhomogeneous Turbulence ◽  
Plane Wave Scattering

A new method to characterize inhomogeneous turbulence

1999 ◽  
pp. 361-364
Author(s):  
B. Reisner ◽  
Ch. Renner ◽  
St. Lück ◽  
J. Peinke ◽  
F. Chillá ◽  
...  
Keyword(s):  
New Method ◽  
Inhomogeneous Turbulence

scholarly journals Structure function tensor equations in inhomogeneous turbulence

2020 ◽  
Vol 898 ◽  
Author(s):  
Davide Gatti ◽  
Alessandro Chiarini ◽  
Andrea Cimarelli ◽  
Maurizio Quadrio
Keyword(s):  
Structure Function ◽  
Inhomogeneous Turbulence ◽  
Image Position

scholarly journals WKB theory for rapid distortion of inhomogeneous turbulence

1999 ◽  
Vol 390 ◽  
pp. 325-348 ◽  
Author(s):  
S. NAZARENKO ◽  
N. K.-R. KEVLAHAN ◽  
B. DUBRULLE
Keyword(s):  
Large Scale ◽  
Isotropic Turbulence ◽  
Two Dimensional ◽  
Turbulent Spot ◽  
Mean Flow ◽  
Mean Velocity ◽  
Inhomogeneous Turbulence ◽  
Large Scale Vortex ◽  
The Mean ◽  
Mean Strain

A WKB method is used to extend RDT (rapid distortion theory) to initially inhomogeneous turbulence and unsteady mean flows. The WKB equations describe turbulence wavepackets which are transported by the mean velocity and have wavenumbers which evolve due to the mean strain. The turbulence also modifies the mean flow and generates large-scale vorticity via the averaged Reynolds stress tensor. The theory is applied to Taylor's four-roller flow in order to explain the experimentally observed reduction in the mean strain. The strain reduction occurs due to the formation of a large-scale vortex quadrupole structure from the turbulent spot confined by the four rollers. Both turbulence inhomogeneity and three-dimensionality are shown to be important for this effect. If the initially isotropic turbulence is either homogeneous in space or two-dimensional, it has no effect on the large-scale strain. Furthermore, the turbulent kinetic energy is conserved in the two-dimensional case, which has important consequences for the theory of two-dimensional turbulence. The analytical and numerical results presented here are in good qualitative agreement with experiment.

Diagonalizing Approximation for Inhomogeneous Turbulence

1964 ◽  
Vol 7 (8) ◽  
pp. 1169 ◽  
Author(s):  
Robert H. Kraichnan
Keyword(s):  
Inhomogeneous Turbulence

scholarly journals Turbulence generation from a stochastic wavelet model

2018 ◽  
Vol 474 (2217) ◽  
pp. 20180093
Author(s):  
Y. Du ◽  
G. Lin
Keyword(s):  
Input Data ◽  
Computation Cost ◽  
Fourier Methods ◽  
Numerical Examples ◽  
Scale Reduction ◽  
Inhomogeneous Turbulence ◽  
Comparable Accuracy ◽  
Turbulence Generation ◽  
Theoretical Results ◽  
Good Agreement

This research presents a new turbulence generation method based on stochastic wavelets and tests various properties of the generated turbulence field in both the homogeneous and inhomogeneous cases. Numerical results indicate that turbulence fields can be generated with much smaller bases in comparison to synthetic Fourier methods while maintaining comparable accuracy. Adaptive generation of inhomogeneous turbulence is achieved by a scale reduction algorithm, which greatly reduces the computation cost and practically introduces no error. The generating formula issued in this research could be adjusted to generate fully inhomogeneous and anisotropic turbulence with given RANS data under divergence-free constraint, which was not achieved previously in similar research. Numerical examples shows that the generated homogeneous and inhomogeneous turbulence are in good agreement with the input data and theoretical results.

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