lecture 8 control volume & fluxes. eulerian and lagrangian formulations
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Lecture 8
Control Volume & Fluxes.Eulerian and Lagrangian Formulations
Resultant force applied to a volume of fluid
dxdydzgweight
dyy
dyyyx y
u
y
yxy y
u
General movement equation
ij
i
i
i gx
u
x
p
dt
du
2
2
ij
i
ij
ij
ii gx
u
x
p
x
uu
t
u
dt
du
2
2
This equation holds for a material system with a unit of mass. It is written in a LagrangianFormulation, i.e. one has to follow that portion of fluid in order to describe its velocity.That is not easy for us since we use to be in a fix place observing the flow, i.e. we are in an Eulerian reference .
Lagrangian vs Eulerian descriptions
• Both describe time derivatives. • Lagrangian approach describes the rate of change
of a property in a material system, i.e. follows material as it moves. (It is the unique formulation to describe the movement of bodies)
• Eulerian describes the rate of change in one point of space.
• In stationary systems eulerian derivative is null meaning that local production balances transport.
Case of velocity
In this flow:• Is there acceleration (rate of change of the velocity of a material system)?• How does momentum flux change between entrance and exit?• If the flow is stationary what is the local velocity change rate (eulerian derivative)?• How does momentum inside the control volume change in time?• How does pressure vary along the flow?• What is the relation between momentum production and the divergence of momentum fluxes?• Can we say that lagrangian description is better then eulerian description or vice-versa?
Concentration
kcdt
dc
Fecal Bacteria dies in the environment according to a first order decay, i.e. the number of bacteria that dies per unit of time is proportional to existing bacteria. This process is describe by the equation:
C
t
C0
ktecc 0 This is a lagrangian formulation. This solution describes what is happening inside a water mass whether is moving or not.What happens in an Eulerian description?
Eulerian descriptionLet’s consider a river where the contaminated water would be moving as a patch (without diffusion)
t1
t2 t3
t4
Concentration decays as the patch moves. Time series in points x1 and x2 would be:
X1X2
C
t
X1
X2
Maximum concentration difference between X1 and X2 depends on decay rate while the slope of the curves increase with flow velocity.
kcx
cu
t
c
Lagrangian vs Eulerian
• Examples of videos illustrating the difference between eulerian and lagrangian descriptions (not always very clear)
http://www.youtube.com/watch?v=zk_hPDAEdII&feature=related
http://www.youtube.com/watch?v=mdN8OOkx2ko&feature=related
Reynolds Theorem
• The rate of change of a property inside a control volume occupied by the fluid is equal to the rate of change inside the material system located inside the control plus what is flowing in, minus what is flowing out.
dSn.vdVoldt
ddVol
t VC SCsystem
Demonstration of Reynolds Theorem
SYS 2SYS 1
SYS 3
Let’s consider a conduct and 3 portions fluid (systems), SYS 1, SYS3 and SYS 3 that are moving.
Let’s consider a space control volume (not moving) that at time “t” is completed filled by the fluid SYS 2
CV
SYS 2SYS 1SYS 3
CV
Time = t
Time = t+∆t
Between time= t and time =(t+∆t) inside the control volume properties can change because some fluid flew in (SYS1) and other flew out (SYS2) and also because properties of those systems have changed in time.
Rates of change
t
BB tSYS
ttSYS
t
BB tvc
ttvc
In a material system:
Inside the control volume:
tSYSt
vc BB 2
SYS 2 was coincident with CV at time t: SYS 2SYS 1
SYS 3CV
outflowflowinBB ttSYS
ttvc
2
At time t+∆t:
SYS 2SYS 1SYS 3
CV
Computing the budget per unit of time and using the specific property (per unit of volume)
dB
dV dVB
outflowflowin
t
BB
t
BB tSYS
ttSYS
tvc
ttvc
22
dVtt
dVdV
t
BB
ttt
tvc
ttvc
Identically for the material System
dB
dV dVB
dVdt
d
t
BB tSYS
ttSYS 22
dAnvoutflowflowin .
If material is flowing in, the internal product is negative and if is flowing out is positive. As a consequence:
And finally
dAn.vdVdt
ddV
t surfacesystemvc
dAnvdVt
dVdt
d
surfacevcsystem
.
Or:
If the Volume is infinitesimal
exitentrance AnvAnvVdt
dV
t
..
dAnvdVdt
ddV
t surfacesystemvc
.
k
k
xu
Vdt)(d
Vdt
)V(ddt)(d
Vdt
)V(d
But:
33
12
11
3213321
22312231
1321132
212121 333
xxx
xx
xxx
k
k
vxxvxx
vxxvxx
vxxvxx
x
uxxx
dt
dxxx
txxx
Dividing by the volume:
Becomes:
And thus:
Total derivative
jjk
k vxx
v
dt
d
t
k
k
j
j
x
v
x
v
tdt
d
jj xv
tdt
d
The Total derivative is the rate of change in a material system (Lagrangian description) ;The Partial derivative is the rate of change in a control volume (eulerian description) ;The advective derivative account for the transport by the velocity.
Evolution Equation
dAn.vdVdt
ddV
t surfacesistemavc
The rate of change inside the system is the (Production-Destruction) + (diffusion exchange). Designating Production – Destruction by (Sources – Sinks) and knowing that:
dAn.Diffusion
dAnnvSSdVt surface
ivc
..0
Differential Equation
dAnnvSSdVt surface
ivc
..0
..0 vsst i
iii
iiii
i
iiiii
ssxxdt
d
ssxxx
vt
xxxvss
t
0
0
0