2006
DOI: 10.1016/j.jcp.2006.05.009
|View full text |Cite
|
Sign up to set email alerts
|

A bandwidth-optimized WENO scheme for the effective direct numerical simulation of compressible turbulence

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

2
307
0

Year Published

2009
2009
2020
2020

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 441 publications
(309 citation statements)
references
References 27 publications
(33 reference statements)
2
307
0
Order By: Relevance
“…Steger-Warming splitting is used for the inviscous terms and then solved by using the fourth-order bandwidth-optimized weighted essentially non-oscillatory scheme (WENO-SYMBO) of Wu and Martín [11] and Martín et al [19]. Viscous terms are discretized by using the eighth-order central scheme.…”
Section: B Numerical Methods and Simulation Parametersmentioning
confidence: 99%
“…Steger-Warming splitting is used for the inviscous terms and then solved by using the fourth-order bandwidth-optimized weighted essentially non-oscillatory scheme (WENO-SYMBO) of Wu and Martín [11] and Martín et al [19]. Viscous terms are discretized by using the eighth-order central scheme.…”
Section: B Numerical Methods and Simulation Parametersmentioning
confidence: 99%
“…No doubt, WENO [8][9][10] and it's derived schemes are of the most successful ones. Especially, some low dissipative WENO type schemes have been proposed, such as compact-WENO [11,12], WENO-Z [13], WENO-SYMBO [14], TWENO [15], which have been successfully used for multi-scales capture. As Pirozzoli [16] reviewed and suggested that the hybridization of a high-order compact scheme with the WENO scheme is good choice for the DNS and larger eddy simulation (LES) of turbulent compressible flows.…”
Section: Introductionmentioning
confidence: 99%
“…One method is the optimization method [22]. For a nonlinear scheme, no analytical formula of the spectral relations can be obtained.…”
Section: Determination Of  M and  Smentioning
confidence: 99%