2005
DOI: 10.1002/fld.989
|View full text |Cite
|
Sign up to set email alerts
|

Derivation and characteristics analysis of an acoustics-convection upstream resolution algorithm for the two-dimensional Euler and Navier-Stokes equations

Abstract: SUMMARYThe ÿrst of a two-paper series, this paper introduces a new decomposition not of the hyperbolic ux vector but of the ux vector Jacobian. The paper then details for the Euler and Navier-Stokes equations an intrinsically inÿnite directional upstream-bias formulation that rests on the mathematics and physics of multi-dimensional acoustics and convection. Based upon characteristic velocities, this formulation introduces the upstream bias directly at the di erential equation level, before the spatial discret… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
9
0

Year Published

2005
2005
2009
2009

Publication Types

Select...
3
1
1

Relationship

1
4

Authors

Journals

citations
Cited by 9 publications
(9 citation statements)
references
References 19 publications
0
9
0
Order By: Relevance
“…With implied summation on repeated subscript indices, these equations can be abridged as the non-linear parabolic system @q @t + @f j (q) @x j − @f j @x j = 0 (1) which reduces to the Euler hyperbolic system when the uid-viscosity ux f j identically vanishes. For three-dimensional formulations, 1 6 j 6 3, and with R denoting the real-number ÿeld, the independent variable (x; t), x ≡ (x 1 ; x 2 ; x 3 ), in (1) …”
Section: Non-discrete Upstream-bias Approximationmentioning
confidence: 99%
See 4 more Smart Citations
“…With implied summation on repeated subscript indices, these equations can be abridged as the non-linear parabolic system @q @t + @f j (q) @x j − @f j @x j = 0 (1) which reduces to the Euler hyperbolic system when the uid-viscosity ux f j identically vanishes. For three-dimensional formulations, 1 6 j 6 3, and with R denoting the real-number ÿeld, the independent variable (x; t), x ≡ (x 1 ; x 2 ; x 3 ), in (1) …”
Section: Non-discrete Upstream-bias Approximationmentioning
confidence: 99%
“…This continuum upstream-bias formulation derives from a characteristics-bias integral statement associated with (1). With reference to (2), the characteristic-bias integral is then deÿned as…”
Section: Non-discrete Upstream-bias Approximationmentioning
confidence: 99%
See 3 more Smart Citations