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Keywords
(12)
Difference Operator
Differential Operators
Direct Numerical Simulation
Kinetic Energy
Numerical Simulation
Reynolds Number
navier-stokes equation
Turbulent Channel Flow
Turbulent Flow
Higher Order
Symmetric Positive Definite
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Symmetry-preserving discretization of turbulent flow
Symmetry-preserving discretization of turbulent flow,10.1016/S0021-9991(03)00126-8,Journal of Computational Physics,R. W. C. P. Verstappen,A. E. P. Ve
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Symmetry-preserving discretization of turbulent flow
(
Citations: 94
)
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R. W. C. P. Verstappen
,
A. E. P. Veldman
We propose to perform
turbulent flow
simulations in such manner that the difference operators do have the same symmetry properties as the underlying differential operators, i.e., the convective operator is represented by a skew-symmetric coefficient matrix and the diffusive operator is approximated by a symmetric, positive-definite matrix. Mimicking crucial properties of
differential operators
forms in itself a motivation for discretizing them in a certain manner. We give it a concrete form by noting that a symmetry-preserving discretization of the Navier–Stokes equations is stable on any grid, and conserves the total mass, momentum and
kinetic energy
(for the latter the physical dissipation is to be turned off, of coarse). Being stable on any grid, the choice of the grid may be based on the required accuracy solely, and the main question becomes: how accurate is a symmetry-preserving discretization? Its accuracy is tested for a
turbulent flow
in a channel by comparing the results to those of physical experiments and previous numerical studies. The comparison is carried out for a
Reynolds number
of 5600, which is based on the channel width and the mean bulk velocity (based on the channel half-width and wall shear velocity the
Reynolds number
becomes 180). The comparison shows that with a fourth-order, symmetry-preserving method a 64×64×32 grid suffices to perform an accurate numerical simulation.
Journal:
Journal of Computational Physics - J COMPUT PHYS
, vol. 187, no. 1, pp. 343-368, 2003
DOI:
10.1016/S0021-9991(03)00126-8
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Citation Context
(29)
...The mean and rms profiles (shown in the next subsection) were verified to be identical to those of standard DNS-databases for Reτ = 180 (e.g., [17, 26, 28,
40
])...
...(see [
40
]). The first grid point of the wall is at x2,1 = 0.2 mm, corresponding to y + = 1.5...
Bernard J. Geurts
,
et al.
Large-Eddy Simulation of Multiscale Particle Dynamics at High Volume C...
...Regarding the numerical algorithms, cost reductions can be achieved by one or more of the following: (1) decreasing the number of grid points using high-order schemes [
1-3
], (2) reducing the computational cost per iteration, or (3) using larger time steps, all without affecting the quality of the numerical solution...
F. X. Trias
,
et al.
A Self-Adaptive Strategy for the Time Integration of Navier-Stokes Equ...
...The numerical algorithm used to solve the governing equations preserves the conservation properties too [
4
] and is therefore well-suited to test the proposed simulation model...
F. X. Trias
,
et al.
Parameter-Free Symmetry-Preserving Regularization Modelling of Turbule...
...The mean and rms profiles (shown in the next subsection) were verified to be identical to those of standard DNS-databases for Reτ = 180 (e.g., [26, 42, 44,
60
])...
...x2, j/H =− 1 + sinh(aj/N2) sinh(a/2) with j = 0, .., N2/2 and a = 6.5 (25) Verstappen and Veldman [
60
]...
Bert Vreman
,
et al.
Two and Four-Way Coupled Euler–Lagrangian Large-Eddy Simulation of Tur...
...The normal direction is discretized using a fourth-order energy-conserving staggered finite-volume discretization [
33
], and the locations of normal velocities
u
3
are shifted in the normal direction by half a cell compared to
p
,
u
1
, and
u
2
...
Sara Delport
,
et al.
Constrained optimization of turbulent mixing-layer evolution
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(
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R. W. C. P. Verstappen
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Published in 1997.
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Julia Mikhal
,
Bernard J. Geurts
,
Mitsuhisa Sato
,
Satoshi Matsuoka
,
Peter M. Sloot
,
Albada van G. Dick
,
Jack Dongarra
Journal:
Procedia Computer Science
, vol. 4, pp. 811-820, 2011
Fluorinated Membrane Potential Probes
Ping Yan
,
Adrian Negrean
,
Huibert D. Mansvelder
,
Leslie M. Loew
Journal:
Biophysical Journal - BIOPHYS J
, vol. 100, no. 3, pp. 617a-617a, 2011
The numerical solution of a generalized Burgers-Huxley equation through a conditionally bounded and symmetry-preserving method
Jorge Eduardo Macías-Díaz
,
J. Ruiz-Ramírez
,
J. Villa
Journal:
Computers & Mathematics With Applications - COMPUT MATH APPL
, vol. 61, no. 11, pp. 3330-3342, 2011
Large-Eddy Simulation of Multiscale Particle Dynamics at High Volume Concentration in Turbulent Channel Flow
Bernard J. Geurts
,
Borst de René
,
Ekkehard Ramm
Published in 2011.
On the construction of discrete filters for symmetry-preserving regularization models
F. X. Trias
,
R. W. C. P. Verstappen
Journal:
Computers & Fluids - COMPUT FLUIDS
, vol. 40, no. 1, pp. 139-148, 2011