review of the navier-stokes equations
TRANSCRIPT
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AML 811
Lecture 11
Review of the Navier-Stokes Equations
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Recap : Modified Differential Equation
with FTBS for wave equation The MDE for the FTBS for wave equation can be written as
DissipationDispersion
Both the dissipation and dispersion terms are zero for the CFL
number, c = 1 This happens for the higher order terms also. Hence, FTBS is exact
for a CFL for 1 with the wave equation
Note that as c decreases, the MDE has a higher coefficient of
dissipation. This is what was reflected in our simulations
See Hoffmann and Chiang, Vol 1, Appendix C for the algebra in all its glory
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Recap: FTBS for wave equation with CFL
= 1
Gives the exact solution because
FTBS has the same form as the exact solution for CFL = 1
All the truncation error terms in the MDE cancel for CFL = 1
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Recap: FTBS for wave equation with CFL
= 0.5
Solution diffusive because of the dissipative term in the MDE is notzero. Note that the MDE is still consistent as truncation error goesto zero as grid size decreases
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Recap: FTBS for wave equation with CFL
= 0.9
Solution diffusive because of the dissipative term in the MDE is notzero.
Since 1-c is smaller than that for CFL = 0.5, solution is lessdissipative for this CFL.
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Recap: Anti-diffusive behavior: CFL =
1.1Artificial Dissipation coefficient
Solution anti-diffusive because of the coefficient of artificialdissipation is negative. (Never, never confuse this for the wholedissipation term itself)
This gives additional significance to why the CFL 1 for stability
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Recap: Upwind methods
FTBS works while FTFS does not because FTBS
takes numerical information consistent where the
direction of the characteristics
Such schemes are known as upwind schemes as
they take information only in a direction upwind of
the wave propagation. For e.g. Higher order upwind method for
x
ua
t
u
=
+=
+
x
uuua
t
uun
i
n
i
n
i
n
i
n
i
2
4321
1
What would be first order upwind scheme for
0=
+
x
ua
t
u
01
1
=
+
++
x
uua
t
uun
i
n
i
n
i
n
i
0
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Recap: Explicit Method: Lax-Wendroff
The original equation is used in the Taylor
series expansion to obtain the finite
difference equation. Hence, spatial andtemporal derivatives are connected
Second order accurate in space and time Stability for c 1
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Recap: Lax-Wendroff CFL = 1
Blue lines : Exact
Red lines : Numerical
Exact solution for CFL = 1 for the same
reasons as FTBS
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Recap: Lax-Wendroff CFL = 0.9
Blue lines : Exact
Red lines : Numerical
Solution is oscillatory, unlike FTBS
Solution shows both dissipation and dispersion
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Recap: Lax-Wendroff CFL = 0.7
Blue lines : Exact
Red lines : Numerical
Solution is oscillatory, unlike FTBS
Solution shows both dissipation and dispersion.
More of all non-idealities than CFL = 0.9
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Recap: Lax-Wendroff CFL = 0.5
Blue lines : Exact
Red lines : Numerical
Solution is oscillatory, unlike FTBS
Solution shows both dissipation and dispersion.
More of all non-idealities than CFL = 0.9
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Recap: Explicit Method: Lax-Wendroff
Can be viewed as addition of artificial dissipation toFTCS.
For CFL < 1, the dissipation is not enough to kill allthe oscillations caused by the central scheme.(When would the scheme be the same as FTBS?)
Since the scheme is second order accurate, thetruncation error term starts with a third orderderivative which explains the dispersion
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Recap: Some Implicit Methods for the wave
equation 02
1
1
1
1
1
=
+
++
++
x
uua
t
uun
i
n
i
n
i
n
i
BTCS
0
11
1
1
=
+
++++
x
uua
t
uun
i
n
i
n
i
n
i
BTBS
0222
11
1
1
1
1
1
=
+
+
++
+
++
x
uu
x
uua
t
uun
i
n
i
n
i
n
i
n
i
n
i
Crank Nicholson
The stability restriction on the time step explicit schemes for the wave equationis proportional to the grid size unlike the parabolic equation where is it isproportional to x2
Since we require accurate solutions in time, the time step is already restrictedeven for implicit schemes by the accuracy constraint
Often, we dont gain anything by using implicit schemes for the wave equation. Explicit schemes are hence far more used for hyperbolic problems and for the
Navier-Stokes, the convective terms are often computed explicitly.
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Summary of Lecture 10
Modified Differential Equation (MDE) for
FTBS shows why it is increasingly dissipativeas CFL decreases
FTBS is a first-orderupwind method. Higher
order upwind methods can also be derived
Lax-Wendroff : Explicit scheme which is
second accurate in time and space. However,it adds non-physical oscillations and is also
dispersive
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Main ideas and terms in the course till now
Basic properties of PDEs Hyperbolic, parabolic and elliptic PDEs
Characteristics
Deriving finite difference formulas of any order for auniform and non-uniform stencil
Taylor series table, polynomial fit
Convergence = Consistency + Stability
Modified Differential Equation (MDE)
Von Neumann Stability criterion
Explicit vs Implicit Methods
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Main ideas and terms in the course till now
Methods for Parabolic Equations FTCS (explicit), Crank Nicholson (Implicit)
Diffusion number
Approximate Factorization Methods :ADI, Fractional-Step
Methods for Elliptic Equations 5-point stencil and 9-point stencil
Solution of linear system of equations Direct vs iterative methods
Jacobi, Gauss-Seidel, SOR Point and line methods : Line Gauss-Seidel, LSOR
Methods for Hyperbolic equations Upwind schemes, numerical dissipation
Lax-Wendroff Dispersion and dissipation due to numerical method
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Assignments,Minors,Projects, etc
Assignments Next assignment will be given tomorrow. Please submit the
previous assignment by then
No late assignments from now on
Minors Minor 2 will be a take home exam i.e. effectively a (longish!)
homework except that no discussions would be allowed.
Final Project Will not be a long coding exercise but analysis of a subject and a
few papers. Please give me a subject of your interest and I canfind something of interest to you (by this Friday). If you do nothave anything particular you are interested in, I can assign you
something by myself.Etc
Please fill in the mid-term evaluations and return them to me
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Assignments,Minors,Projects, etc
Assignments Next assignment will be given tomorrow. Please submit the
previous assignment by then
No late assignments from now on
Minors Minor 2 will be a take home exam i.e. effectively a (longish!)
homework except that no discussions would be allowed.
Final Project Will not be a long coding exercise but analysis of a subject and a
few papers. Please give me a subject of your interest and I canfind something of interest to you (by this Friday). If you do nothave anything particular you are interested in, I can assign you
something by myself. Etc
Please fill in the mid-term evaluations and return them to me
-
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The governing equations of fluid flow
Governing equations can be written in many forms Differential, integral, conservative, non-conservative
All of them express the same physical law but oneform or the other can be more correct for numericalapproximation.
The laws of physics a fluid obeys at every point Conservation of mass.
Newtons second Law. F = ma
Conservation of energy
A solid obeys these too. So what distinguishes afluid from a solid?
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Concept of a fluid What distinguishes a fluid from a solid?
A fluid deforms continuously under anapplied shear force (i.e. a forcetangential to its surface)
Hence, on a static free surface willalways be perpendicular to the netforce.
Note: A fluids resistance depends on
rate of strain (i.e. rate of deformation)instead of strain.
Linear elastic solid => Stress isproportional to strain
Newtonian fluid => Stress isproportional to rate-of-strain
Net force
Net force is normal to the
static free surface
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The continuum hypothesis
A fluid is made of atoms and molecules so whatdo density, pressure, velocity, etc at a pointmean?
In theory: We assume that the fluid is actually acontinuum i.e. that it is continuous medium andevery point in space has a fluid particle in it.
In practice,
Density and other quantities are molecularaverages over a volume which is big enough tocontain sufficient molecules but small enough notto include macroscopic variations
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Different ways of deriving the governing
equations Control Volume analysis
Concentrate on a finite volume of fluid and carefully apply conservationprinciples
Basic idea : Change of quantity inside volume = Flux of quantity in Flux ofquantity out
Results in integral form of equations
Can derive finite volume methods using this idea
This form holds true regardless of discontinuities such as shocks, etc
Differential AnalysisConcentrate on the dynamics of an infinitesimal fluid element and apply the
physical conservation laws
Results in differential form of equations
Can derive finite difference methods from this form of equations
The equation does not hold through discontinuities as derivatives are notdefined
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Different ways of deriving the governing
equations Control Volume analysis
Concentrate on a finite volume of fluid and carefully apply conservationprinciples
Basic idea : Change of quantity inside volume = Flux of quantity in Flux ofquantity out
Results in integral form of equations
Can derive finite volume methods using this idea
This form holds true regardless of discontinuities such as shocks, etc
Differential Analysis Concentrate on the dynamics of an infinitesimal fluid element and apply the
physical conservation laws
Results in differential form of equations
Can derive finite difference methods from this form of equations
The equation does not hold through discontinuities as derivatives are notdefined
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Differential Analysis : The substantial,
total or material derivative
Two perspectives of looking at flow Eulerian : Looking at a fixed point in space
Lagrangian : Following an individual material particle.
Physical laws are known for individual particles but we areinterested at a fixed point in space.
The connection between the two ideas: The substantialderivative
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Differential Analysis : The substantial,
total or material derivative
Taylor series
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Differential Analysis : The substantial,
total or material derivative
Dt
D
dt
d
Chain rule and physical
arguments give the same result
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Conservation of mass
Mass is conserved =>
Rate of change of mass in volume = Inlet mass flux Outgoing mass flux
Coordinate independentform
M i
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Momentum equation
To give an idea of an alternate approach (the previous approach wouldgive the same result), consider a moving infinitesimal fluid element
Types of external forces acting on the fluid element Body forces : Act directly on the volume of fluid element (i.e. at each point
inside a volumetric element). These are forces that act at a distance e.g :Gravitational, Electromagnetic etc.
Surface forces : These forces act only on the exposed surfaces of anelement. These act locally only. Physically, they are due to two sources Pressure on the surface imposed due to the external fluid surrounding the element
Viscous forces caused by the external fluid dragging, etc on the fluid
Dt
vDa
r
r
=Use
S f f h fl id l
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Surface forces on the fluid element
Only forces in the x-direction shown
Note the two types of surface forces here Pressure on the surface imposed due to the external fluid surrounding the
element. Pressure is purely a normal force
Viscous forces caused by the external fluid dragging, etc on the fluid.Viscous forces can be both normal and shear
S f f h fl id l
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Surface forces on the fluid element
Note the two types of surface forces here Pressure on the surface imposed due to the external fluid surrounding the
element. Pressure is purely a normal force
Viscous forces caused by the external fluid dragging, etc on the fluid.Viscous forces can be both normal and shear
Viscous shear force
Viscous normal force
F b l h fl id l
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Force balance on the fluid element
Body force per
unit mass
External force = Surface + Body
F h fl id l
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F = ma on the fluid elementExternal force = Surface + Body
Momentum equation in x-direction
F th fl id l t
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F = ma on the fluid element
Momentum equation in the y-direction
Momentum equation in the z-direction
Newtonian fl id and the Stokes hypothesis
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Newtonian fluid and the Stokes hypothesis
The momentum equations have viscous stresses asunknowns. To close the system of equations we
need some relationship between the stress and thevelocity derivatives
The assumption of a Newtonian fluid (Stress is
proportional to rate-of strain) provides closure. Thisassumption is not valid for non-Newtonian fluidssuch as blood etc.
The previous assumption still leaves the bulkviscosity coefficient unknown. Stokes hypothesisrelates the molecular viscosity to the bulk viscosity.
Newtonian fluid and the Stokes hypothesis
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Newtonian fluid and the Stokes hypothesis
Newtonian fluid
Stokes hypothesis
The Navier Stokes momentum equations
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The Navier-Stokes momentum equations
Coupled system of nonlinear
PDEs
Energy equation
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Energy equation
Uses first law of thermodynamics
For closure, assume
Fouriers law of heat conduction (to relate heat
flux to temperature)
Ideal gas law : To relate temperature, pressure
and density
Energy balance on an element
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Energy balance on an element
The energy equation in conservation form
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The energy equation in conservation form
Equations of motion
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Equations of motion
System of coupled, non-linearPDEsContinuity (mass)
Momentum
Energy
Summary
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Summary
Concept of a fluid: Deforms continuously under shear
Continuum hypothesis
Eulerian and Lagrangian viewpoints
Conservation equations Continuity: Mass is conserved
Momentum : F = ma
Energy. First law of thermodynamics
These laws + some constitutive laws give the full equations forflow
The full equations can be simplified for various cases : inviscid,incompressible, boundary layers, low Reynolds number, etc. The
simplified equations often also exhibit purely hyperbolic, elliptic,parabolic etc.