Publication Cover
Numerical Heat Transfer, Part B: Fundamentals
An International Journal of Computation and Methodology
Volume 73, 2018 - Issue 1
103
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

A meshless local Petrov–Galerkin approach for solving the convection-dominated problems based on the streamline upwind idea and the variational multiscale concept

, , &
Pages 19-32 | Received 05 Oct 2017, Accepted 12 Dec 2017, Published online: 16 Jan 2018
 

ABSTRACT

A meshless local Petrov–Galerkin (MLPG) approach based on the streamline upwind (SU) idea and the variational multiscale (VMS) concept, called as VMS-SUMLPG method, is herein proposed to solve the convection-dominated problems. In the present VMS-SUMLPG method, the streamline upwind is constructed in the test function to solve the non-self-adjoint matrix. Meanwhile, the VMS concept as a stability term is adopted to alleviate the numerical instability such as spurious oscillations, overshoots, and undershoots. Its numerical accuracy and stability are validated by comparing with the streamline upwind Petrov–Galerkin (SUMLPG) method and the finite volume method with high-order difference schemes for two classical convection-dominated problems at the Peclet number ranging from 106 to 108. It is shown that the numerical solutions of the present VMS-SUMLPG method are accuracy, smoothness, and stability.

Nomenclature

D=

node distance

x, y=

special coordinates

n=

unit normal vector outward to the boundary

=

heat source

q=

heat flux on the boundary

N(x)=

shape function

N=

total number of nodes

=

fictitious nodal values

τ,τ1=

stability coefficient

I=

unit operator

Tcom=

computational values

Ladv=

differential operator

Hs=

Sobolev space

K=

stiff matrix

w=

test function

=

boundary

Ω=

problem domain

Pe=

Peclet number

N=

total number of nodes

T=

temperature

Th(xI)=

trial function

uj=

velocity

λ=

thermal conductivity

Ps=

orthogonal projection operator

Tref=

referential values

=

new test function

k=

Gauss integration nodes

F=

coefficient vector

Nomenclature

D=

node distance

x, y=

special coordinates

n=

unit normal vector outward to the boundary

=

heat source

q=

heat flux on the boundary

N(x)=

shape function

N=

total number of nodes

=

fictitious nodal values

τ,τ1=

stability coefficient

I=

unit operator

Tcom=

computational values

Ladv=

differential operator

Hs=

Sobolev space

K=

stiff matrix

w=

test function

=

boundary

Ω=

problem domain

Pe=

Peclet number

N=

total number of nodes

T=

temperature

Th(xI)=

trial function

uj=

velocity

λ=

thermal conductivity

Ps=

orthogonal projection operator

Tref=

referential values

=

new test function

k=

Gauss integration nodes

F=

coefficient vector

Additional information

Funding

This work is supported by the 111 Project of China (B16038) and the National Natural Science Foundation of China (51476149).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 486.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.