1995
DOI: 10.1007/bf02179986
|View full text |Cite
|
Sign up to set email alerts
|

Stabilization of thermal lattice Boltzmann models

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
95
0

Year Published

1998
1998
2016
2016

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 194 publications
(97 citation statements)
references
References 19 publications
2
95
0
Order By: Relevance
“…The number of hydrodynamic variables increases in these thermal lattice Boltzmann equations to include an independent heat flux vector, but the total number of variables usually increases even more to ensure isotropy. There is therefore additional scope for instabilities associated with the nonhydrodynamic modes to limit the accessible range of Reynold numbers, which may explain why thermal lattice Boltzmann equations have generally proved less successful than their isothermal predecessors [27].…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…The number of hydrodynamic variables increases in these thermal lattice Boltzmann equations to include an independent heat flux vector, but the total number of variables usually increases even more to ensure isotropy. There is therefore additional scope for instabilities associated with the nonhydrodynamic modes to limit the accessible range of Reynold numbers, which may explain why thermal lattice Boltzmann equations have generally proved less successful than their isothermal predecessors [27].…”
Section: Resultsmentioning
confidence: 99%
“…These lattice eigenvectors define a basis in which ∆tΩ and (1 + 1 2 ∆tΩ) −1 are both diagonal, so the matrix C ij in (25) becomes simply ∆t/(τ λ + 1 2 ∆t) multiplying each eigenvector λ as in (27). For instance, a collision operator that changes only the relaxation time τ N for the ghost variable N may be implemented as…”
Section: Numerical Implementationmentioning
confidence: 99%
See 1 more Smart Citation
“…Instead we treat the temperature as an intrinsic and dynamical part of the distribution function. One way to stabilize thermal LB is by diminishing the time step [14][15][16][17][18]. This so-called fractional step method requires interpolations to advance the streaming operator in time and compromises the exact advection property of the LB method.…”
Section: Introductionmentioning
confidence: 99%
“…An example of a modified equation method is increasing the number of discrete velocities beyond the requirement for correct hydrodynamics, which increases the computational expenses [6,[19][20][21][22][23][24]. Thermal LB has also been stabilized by reducing the velocity set below this requirement [14,25]. The resulting inconsistencies in the hydrodynamics can be remedied by subtracting the finite difference discretizations of the corresponding error terms [25].…”
Section: Introductionmentioning
confidence: 99%