2014
DOI: 10.1016/j.physa.2014.07.052
|View full text |Cite
|
Sign up to set email alerts
|

Enhancement of the stability of lattice Boltzmann methods by dissipation control

Abstract: Abstract. Artificial dissipation is a well known tool for the improvement of stability of numerical algorithms. At the same time, this affects the accuracy of the computation. We analyze various approaches proposed for enhancement of the Lattice Boltzmann Methods (LBM) stability. In addition to the previously known methods, the Multiple Relaxation Time (MRT) models, the entropic lattice Boltzmann method (ELBM), and filtering (including entropic median filtering), we develop and analyze new filtering techniques… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
13
0

Year Published

2015
2015
2022
2022

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 27 publications
(13 citation statements)
references
References 43 publications
(46 reference statements)
0
13
0
Order By: Relevance
“…Nevertheless, it is worth noting that some theoretical work remains to be done in order to properly define the validity range of the approximated minimization problem [19]. Eventually, one can further find in the literature stabilization techniques based on other kinds of dissipation control [20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, it is worth noting that some theoretical work remains to be done in order to properly define the validity range of the approximated minimization problem [19]. Eventually, one can further find in the literature stabilization techniques based on other kinds of dissipation control [20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…Overrelaxation in subsequent time steps (along the streaming trajectory of f i ) could result in nonphysical oscillations. Considering the effect oscillations of particle distributions will have on macroscopic variables and, consequently, local quasiequilibriums, positive feedback loops can occur causing the system to diverge or "pollute" the system enough to make the results highly nonphysical [21].…”
Section: Bhatnagar-gross-krookmentioning
confidence: 99%
“…Note that limiting nonequilibrium entropy in LBM is analogous to what flux limiters do in finite difference, finite volume, and finite element methods [9]. A criteria for introducing artificial dissipation that has been used successfully [7][8][9]21] is to define a threshold, θ, such that dissipation is added when:…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…A: The closest analog of the conventional stabilization techniques in the LBM setting is perhaps the method of entropic limiters [27][28][29]. The idea behind is to measure the closeness of the pre-collision state to the corresponding local equilibrium (in the sense of the entropy difference), and to apply equilibration instead of over-relaxation if the difference exceeds a user-defined threshold.…”
Section: How Elbm Performs In Comparison To Other Stabilizing Techniqmentioning
confidence: 99%
“…Various versions of limiters were considered [27][28][29]. The authors of [29] claimed that entropic limiters "perform better" than ELBM.…”
Section: How Elbm Performs In Comparison To Other Stabilizing Techniqmentioning
confidence: 99%