Lesson 12 Objectives
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Transcript of Lesson 12 Objectives
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Lesson 13 Objectives
• Begin Chapter 5: Integral Transport• Derivation of I.T. form of equation• Application to slab geometry• Collision probability formulation• Matrix solution methods
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13-2
Derivation of I.T. form of equation• We now switch our point of view to a different form of
the Boltzmann Equation: The Integral Transport Equation
• Differs 2 ways from Discrete Ordinates1. Uses the integral form of the equation: No
derivative terms2. The angular variable is integrated out, so the basic
unknown is NOT the angular flux, but its integral, the scalar flux:
• As in Chapters 3 and 4, we will assume that we are working within an energy group and ignore E
ˆ,r
ˆ,4
rdr
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13-3
Derivation of I.T. (2)• The I.T. equation can be derived from first principles,
but it is educational to derive it from the B.E.• Lately, we have been working with the following form
of the B.E.:
• But you will remember that we had an earlier form that followed the travel of the particle:
where u was distance traveled in the direction
ˆ,ˆ,ˆ,ˆ rqrrr
ˆ,ˆˆ,ˆˆˆ,ˆ urqurur
duurd
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13-4
Derivation of I.T. (3)• If we reverse the direction and look BACKWARDS
along the path of the particle and define:
the equation becomes:
• Using the integrating factor:
ˆ,ˆˆ,ˆˆˆ,ˆ RrqRrRrdRRrd
uR
ˆexp
0
RrRdR
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13-5
Derivation of I.T. (4)
and noting that:
we get:
• If we integrate BACK along the direction of travel, we get:
ˆexpˆˆexp
00
RrRdRrRrRddRd RR
ˆexpˆ,ˆ
ˆexpˆ,ˆ
0
0
RrRdRrq
RrRdRrdRd
R
R
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13-6
Derivation of I.T. (5)
• The integrals in the exponentials are line integrals of the total cross section along the direction of travel.
• We refer to these as the OPTICAL DISTANCE between the two points and :
• Note that this corresponds to the number of mean free paths between the two points (and commutes)
ˆexpˆ,ˆ
ˆexpˆ,ˆˆ,
0
00
RrRdRr
RrRdRrqRdr
R
RR
r ˆRr
ˆˆ,0
RrRdRrrR
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13-7
Derivation of I.T. (6)
• We will also restrict ourselves to isotropic sources:
• We can now substitute these two into the equation to get:
• The first term gives the contribution to the angular flux at r due to a source back along its path
• The second term can be variously thought of as either:1. The angular flux at an external boundary;2. The angular flux at some internal boundary; or3. A term that will disappear if R is big enough.
rQrq ,
ˆ,ˆ,
0
ˆ,ˆˆˆ, RrrRrrR
eRreRrQRdr
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13-8
Derivation of I.T. (7)
• If we let R go to infinity, the second term is not needed:
• Since the source is isotropic, we only need the scalar flux to “feed” it (e.g., fission & scattering sources), so it makes sense for us to integrate this equation over angle to get:
• Notice that the COMBINATION of integrating over all DIRECTIONS and all DISTANCES away from any point = Integration over all space
ˆ,
0
ˆˆ, RrreRrQRdr
ˆ,
0
ˆˆ RrreRrQRddr
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13-9
Derivation of I.T. (8)
• Note that:
• Using a spherical coordinate system, we have:
• These two can be substituted into the previous equation to give us:
• This is the general form of the Integral Transport Equation
24 RRddVd
rrR
2
,
4 rrerQVdr
rr
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13-10
Derivation of I.T. (9)
Some observations:1. This is a very intuitive equation (for anyone who has had NE406):
Flux = Combination of fluxes generated by all sources (external, fission, scattering)
2. We have eliminated the spatial derivatives, but at the expense of a broadened GLOBAL scope (compared to the D.O. equation, which had a LOCAL scope)
3. Although we are limited to isotropic sources, the flux is not assumed to be isotropic—the angular detail is just hidden from us
4. Although the equation formally integrates over all space, in reality we need only integrate over places where non-zero sources are: Problem geometry
5. Boundary fluxes can be included by returning to non-infinite form of the equation (with the R term = distance to boundary)
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13-11
Application to slab geometry
• If we consider slab geometry, we immediately have:
• If we further define a cylindrical coordinate system with the x axis playing the role of the polar axis:
xr
xSxxxQrQ s
x
y
z
w
x’x
r
r
rrr
w dddxdV ''
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13-12
Application to slab geometry (2)
• Which gives us:
• If we define:
we can see that:
2
,2
00 4 rreddxQxdx
rr
w
xxrr
2
222
2222
222
22
1
xxdd
xx
xxxx
xxrr
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Application to slab geometry (3)
• Substituting all this gives us:
• Noting that from Appendix A, the EXPONENTIAL INTEGRAL is defined as:
• we have the final form:
xxxx
edxQxdxx
exxdxQxdx
,
12
,2
1 21
42
n
xx
nedE
,
1
xxExQxdx
,21
1
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13-14
Collision probability formulation
• Like every other method so far, we have to convert the continuous-variable form to a discrete form.
• Using a spatial mesh as before:
where:
xleft xrightx x x x x x x x xxx1 x2 x3 x4 x5 x6 x7 x8 x9 x10
21
21
iii xx
xi-1/2 xi+1/2xi
Cell i
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CP formulation (2)
• If, as before, we define the average flux in the mesh cell as:
xxExQxddx
xxExQxddx
xdx
ii
i
i
I
ii
a
i
ii
,211
,211
1
11
10
• Integral transport solutions traditionally solve for the COLLISION RATE in each mesh cell, defined as:
iiiif
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13-16
CP formulation (3)• If we assume a spatially flat source within each cell
• Multiplying both sides of the equation on the previous slide by and putting in the flat source gives us:
where I is the number of mesh cells and:
21
21,
iii xxxQxQ
ii
iii
I
iiiiii PQf
1
xxExddxPa
i
iii
i
,21
10
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13-17
CP formulation (4)• Notice that the Q source term includes external
sources, fission sources, scattering from other groups, and within-group scattering
• We can (at least) include the within-group scattering by separating it out from the others:
• And writing the equation as:
isiii SQ
I
i
I
ii
i
isiiiiiii
I
iiisiiiii
fPSPf
SPf
1 1
1
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13-18
CP formulation (5)• Given the recurrence relationships in Appendix A for
the exponential integrals, it can be shown that the transfer coefficients are given by:
and
for same-cell and different-cell transfers, respectively, where
iiii
ii EP
321211
iiiiiiiiiiiiiiiiii
ii EEEEP
333321
21
21 , iiii xx
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13-19
Matrix solution methods• The usual solution method for the I.T. equation is to
write it in matrix form:
where:
and:
• Note that for a pure absorber, there is no scattering, so we have:
sfH ~
i
iiiii SPs~
iii
isiiii
PH
matrixidentity theIH
sf ~
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13-20
Final
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Final
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Final
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Final
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Final