2012
DOI: 10.1590/s0104-66322012000100019
|View full text |Cite
|
Sign up to set email alerts
|

Development of a high-order finite volume method with multiblock partition techniques

Abstract: -This work deals with a new numerical methodology to solve the Navier-Stokes equations based on a finite volume method applied to structured meshes with co-located grids. High-order schemes used to approximate advective, diffusive and non-linear terms, connected with multiblock partition techniques, are the main contributions of this paper. Combination of these two techniques resulted in a computer code that involves high accuracy due the high-order schemes and great flexibility to generate locally refined mes… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 19 publications
(35 reference statements)
0
1
0
Order By: Relevance
“…Tis interface approximation converts partial diferential equations into a set of algebraic equations. In the past, based on diferent choices to these interface approximations, several numerical techniques of fnite volume method (FVM) formulation are developed [45][46][47][48][49][50]. Te convection-difusion equation can be either convectiondominated or difusion-dominated its depending on the rate of convection and difusion.…”
Section: Introductionmentioning
confidence: 99%
“…Tis interface approximation converts partial diferential equations into a set of algebraic equations. In the past, based on diferent choices to these interface approximations, several numerical techniques of fnite volume method (FVM) formulation are developed [45][46][47][48][49][50]. Te convection-difusion equation can be either convectiondominated or difusion-dominated its depending on the rate of convection and difusion.…”
Section: Introductionmentioning
confidence: 99%