Cubic Spline Meshless Method for Numerical Analysis of the Two-Dimensional Navier-Stokes Equations
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@Article{IJNAMB-1-172,
author = {Lindsey M. Westover and Samer M. Adeeb},
title = {Cubic Spline Meshless Method for Numerical Analysis of the Two-Dimensional Navier-Stokes Equations},
journal = {International Journal of Numerical Analysis Modeling Series B},
year = {2010},
volume = {1},
number = {2},
pages = {172--196},
abstract = {The solution for the Navier-Stokes equations for incompressible steady state flow is presented using cubic spline (C2) continuous interpolation functions for the primary variables
(velocities and pressure) on rectangular domains. The solution was explored for laminar
flows with
low, intermediate and high inertia effects. Two problems (Fluid squeezed between two plates and
Wall-driven 2-D cavity flow) were solved using the presented scheme. Trial functions for velocities
and pressure were chosen with cubic spline continuous interpolation functions on a rectangular grid
that also satisfied the essential boundary conditions. The Galerkin weighted residual integrals were
evaluated for the continuity and momentum equations. Using interpolation functions that satisfy
the essential boundary conditions enabled the vanishing of any unknown boundary stress terms
in the developed equations. The nonlinear equations were solved using an iterative technique.
For low Reynolds number flows, coarse meshes were suffcient to reach convergence with very few
iterations. For higher Reynolds number flows, a relatively finer mesh was necessary to reach a
solution. The results show that cubic spline interpolation functions are suitable for solving the
incompressible steady state flow Navier-Stokes equations using the Galerkin weighted residuals
method. The chosen interpolation functions produced smooth continuous and differentiable results
with relatively coarse meshes.},
issn = {},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/ijnamb/331.html}
}
TY - JOUR
T1 - Cubic Spline Meshless Method for Numerical Analysis of the Two-Dimensional Navier-Stokes Equations
AU - Lindsey M. Westover & Samer M. Adeeb
JO - International Journal of Numerical Analysis Modeling Series B
VL - 2
SP - 172
EP - 196
PY - 2010
DA - 2010/01
SN - 1
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/ijnamb/331.html
KW - Navier-Stokes
KW - Incompressible flow
KW - C2 Interpolation functions
KW - Cubic Splines
AB - The solution for the Navier-Stokes equations for incompressible steady state flow is presented using cubic spline (C2) continuous interpolation functions for the primary variables
(velocities and pressure) on rectangular domains. The solution was explored for laminar
flows with
low, intermediate and high inertia effects. Two problems (Fluid squeezed between two plates and
Wall-driven 2-D cavity flow) were solved using the presented scheme. Trial functions for velocities
and pressure were chosen with cubic spline continuous interpolation functions on a rectangular grid
that also satisfied the essential boundary conditions. The Galerkin weighted residual integrals were
evaluated for the continuity and momentum equations. Using interpolation functions that satisfy
the essential boundary conditions enabled the vanishing of any unknown boundary stress terms
in the developed equations. The nonlinear equations were solved using an iterative technique.
For low Reynolds number flows, coarse meshes were suffcient to reach convergence with very few
iterations. For higher Reynolds number flows, a relatively finer mesh was necessary to reach a
solution. The results show that cubic spline interpolation functions are suitable for solving the
incompressible steady state flow Navier-Stokes equations using the Galerkin weighted residuals
method. The chosen interpolation functions produced smooth continuous and differentiable results
with relatively coarse meshes.
Lindsey M. Westover and Samer M. Adeeb. (2010). Cubic Spline Meshless Method for Numerical Analysis of the Two-Dimensional Navier-Stokes Equations.
International Journal of Numerical Analysis Modeling Series B. 1 (2).
172-196.
doi:
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