In
computational fluid dynamics
Computational fluid dynamics (CFD) is a branch of fluid mechanics that uses numerical analysis and data structures to analyze and solve problems that involve fluid dynamics, fluid flows. Computers are used to perform the calculations required ...
QUICK, which stands for Quadratic Upstream Interpolation for Convective Kinematics, is a higher-
order
Order, ORDER or Orders may refer to:
* A socio-political or established or existing order, e.g. World order, Ancien Regime, Pax Britannica
* Categorization, the process in which ideas and objects are recognized, differentiated, and understood
...
differencing scheme that considers a three-point upstream weighted by
quadratic interpolation for the cell face values.
In computational fluid dynamics there are many solution methods for solving the steady
convection–diffusion equation
The convection–diffusion equation is a parabolic partial differential equation that combines the diffusion equation, diffusion and convection (advection equation, advection) equations. It describes physical phenomena where particles, energy, or o ...
. Some of the used methods are the central differencing scheme,
upwind scheme
In computational physics, the term advection scheme refers to a class of numerical discretization methods for solving hyperbolic partial differential equations. In the so-called upwind schemes ''typically'', the so-called upstream variables are use ...
, hybrid scheme,
power law scheme
The power law scheme was first used by Suhas Patankar (1980). It helps in achieving approximate solutions in computational fluid dynamics (CFD) and it is used for giving a more accurate approximation to the one-dimensional exact solution when com ...
and QUICK scheme.
The QUICK scheme was presented by Brian P. Leonard – together with the QUICKEST (QUICK with Estimated Streaming Terms) scheme – in a 1979 paper.
In order to find the cell face value a
quadratic function
In mathematics, a quadratic function of a single variable (mathematics), variable is a function (mathematics), function of the form
:f(x)=ax^2+bx+c,\quad a \ne 0,
where is its variable, and , , and are coefficients. The mathematical expression, e ...
passing through two bracketing or surrounding nodes and one
node
In general, a node is a localized swelling (a "knot") or a point of intersection (a vertex).
Node may refer to:
In mathematics
* Vertex (graph theory), a vertex in a mathematical graph
*Vertex (geometry), a point where two or more curves, lines ...
on the upstream side must be used. In
central differencing scheme
In applied mathematics, the central differencing scheme is a finite difference method that optimizes the approximation for the differential operator in the central node of the considered patch and provides numerical solutions to differential equa ...
and second order
upwind scheme
In computational physics, the term advection scheme refers to a class of numerical discretization methods for solving hyperbolic partial differential equations. In the so-called upwind schemes ''typically'', the so-called upstream variables are use ...
the first order derivative is included and the second order derivative is ignored. These schemes are therefore considered second order accurate where as QUICK does take the second order derivative into account, but ignores the third order derivative hence this is considered third order accurate.
This scheme is used to solve
convection–diffusion equation
The convection–diffusion equation is a parabolic partial differential equation that combines the diffusion equation, diffusion and convection (advection equation, advection) equations. It describes physical phenomena where particles, energy, or o ...
s using second order central difference for the diffusion term and for the
convection
Convection is single or Multiphase flow, multiphase fluid flow that occurs Spontaneous process, spontaneously through the combined effects of material property heterogeneity and body forces on a fluid, most commonly density and gravity (see buoy ...
term the scheme is third order accurate in space and first order accurate in time. QUICK is most appropriate for
steady flow
In physics, physical chemistry and engineering, fluid dynamics is a subdiscipline of fluid mechanics that describes the flow of fluids – liquids and gases. It has several subdisciplines, including (the study of air and other gases in motio ...
or quasi-steady highly convective
elliptic flow.
Quadratic interpolation for QUICK scheme

For the one-dimensional domain shown in the figure the Φ value at a
control volume
In continuum mechanics and thermodynamics, a control volume (CV) is a mathematical abstraction employed in the process of creating mathematical models of physical processes. In an inertial frame of reference, it is a fictitious region of a given v ...
face is approximated using three-point quadratic function passing through the two bracketing or surrounding nodes and one other node on upstream side.
In the figure, in order to calculate the value of the property at the face, we should have three nodes i.e. two bracketing or surrounding nodes and one upstream node.
# Φ
w when ''u''
w > 0 and ''u''
e > 0 a quadratic fit through WW, W and P is used,
# Φ
e when ''u''
w > 0 and ''u''
e > 0 a quadratic fit through W, P and E is used,
# Φ
w when ''u''
w < 0 and ''u''
e < 0 values of W, P and E are used,
# Φ
e when ''u''
w < 0 and ''u''
e < 0 values of P, E and EE are used.
Let the two bracketing nodes be ''i'' and ''i'' − 1 and upstream node ''i'' – 2 then for a uniform
grid
Grid, The Grid, or GRID may refer to:
Space partitioning
* Regular grid, a tessellation of space with translational symmetry, typically formed from parallelograms or higher-dimensional analogs
** Grid graph, a graph structure with nodes connec ...
the value of φ at the cell face between the three nodes is given by:
:
Interpretation of the property when the flow is in different directions
The steady convection and diffusion of a property 'Ƥ' in a given one-dimensional flow field with velocity 'u' and in the absence of sources is given
:
For the continuity of the flow it must also satisfy
:
Discretizing the above equation to a control volume around a particular node we get
:
Integrating this continuity equation over the control volume we get
:
now assuming
and
The corresponding cell face values of the above variables are given by
:
:
:
:
Assuming constant area over the entire control volume we get
:
Positive direction
When the flow is in positive direction the values of the velocities will be
and
,
For "w (west face)" bracketing nodes are W and P, the upstream node is WW then,
:
For "e (east face)" bracketing nodes are P and E, the upstream node is W then
:
Gradient
In vector calculus, the gradient of a scalar-valued differentiable function f of several variables is the vector field (or vector-valued function) \nabla f whose value at a point p gives the direction and the rate of fastest increase. The g ...
of
parabola
In mathematics, a parabola is a plane curve which is Reflection symmetry, mirror-symmetrical and is approximately U-shaped. It fits several superficially different Mathematics, mathematical descriptions, which can all be proved to define exactl ...
is used to evaluate
diffusion
Diffusion is the net movement of anything (for example, atoms, ions, molecules, energy) generally from a region of higher concentration to a region of lower concentration. Diffusion is driven by a gradient in Gibbs free energy or chemical p ...
terms.
If ''F''
w > 0 and ''F''
e > 0 and if we use above equations for the convective terms and central differencing for the diffusion terms, the
discretized form of the one-dimensional
convection–diffusion transport equation will be written as:
:
:
On re-arranging we get
:
now it can be written in the standard form:
:
where:
Negative direction
When the flow is in negative direction the value of the velocities will be ''u''
w < 0 and ''u''
e < 0,
For west face w the bracketing nodes are W and P, upstream node is E and for the east face E the bracketing nodes are P and E, upstream node is EE
For
< 0 and
< 0 the flux across the west and east boundaries is given by the expressions :
:
:
Substitution of these two formulae for the
convective
Convection is single or multiphase fluid flow that occurs spontaneously through the combined effects of material property heterogeneity and body forces on a fluid, most commonly density and gravity (see buoyancy). When the cause of the convec ...
terms in the discretized convection-diffusion equation together with central differencing for the
diffusion
Diffusion is the net movement of anything (for example, atoms, ions, molecules, energy) generally from a region of higher concentration to a region of lower concentration. Diffusion is driven by a gradient in Gibbs free energy or chemical p ...
terms leads, after re-arrangement similar to positive direction as above, to the following coefficients.
QUICK scheme for 1-D convection–diffusion problems
:a
PΦ
P = a
WΦ
W + a
EΦ
E + a
WWΦ
WW + a
EEΦ
EE
Here, a
P = a
W + a
E + a
WW + a
EE + (F
e - F
w)
other coefficients
where
:α
w=1 for F
w > 0 and α
e=1 for F
e > 0
:α
w=0 for F
w < 0 and α
e=0 for F
e < 0.
Comparing the solutions of QUICK and upwind schemes
From the below graph we can see that the QUICK scheme is more accurate than the upwind scheme. In the QUICK scheme we face the problems of
undershoot and
overshoot due to which some errors occur. These overshoots and undershoots should be considered while interpreting solutions.
False diffusion
False diffusion is a type of error observed when the upwind scheme is used to approximate the convection term in convection–diffusion equations. The more accurate Finite difference#central difference, central difference scheme can be used for th ...
errors will be minimized with the QUICK scheme when compared with other schemes.
See also
*
Upwind scheme
In computational physics, the term advection scheme refers to a class of numerical discretization methods for solving hyperbolic partial differential equations. In the so-called upwind schemes ''typically'', the so-called upstream variables are use ...
*
Power law scheme
The power law scheme was first used by Suhas Patankar (1980). It helps in achieving approximate solutions in computational fluid dynamics (CFD) and it is used for giving a more accurate approximation to the one-dimensional exact solution when com ...
*
Finite-volume method
The finite volume method (FVM) is a method for representing and evaluating partial differential equations in the form of algebraic equations.
In the finite volume method, volume integrals in a partial differential equation that contain a divergen ...
*
Finite difference method
In numerical analysis, finite-difference methods (FDM) are a class of numerical techniques for solving differential equations by approximating Derivative, derivatives with Finite difference approximation, finite differences. Both the spatial doma ...
References
Further reading
*
*
*{{Citation
, publisher = Cambridge University Press
, isbn = 978-0-521-85326-2
, last = Date
, first = Anil W.
, title = Introduction to Computational Fluid Dynamics
, year = 2005
Computational fluid dynamics