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Taylor, Benjamin
SCALE manual
Commits
776347ef
Commit
776347ef
authored
Jan 25, 2021
by
Batson Iii
Browse files
Numbering Sections, consolidating
parent
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.DS_Store
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docs/COVLIBAppA.rst
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776347ef
.. _10-2a:
COVLIB Appendix A: Cross section plots for U, Pu, TH, B, H, He, and Gd Nuclides
===============================================================================
-------------------------------------------------------------------------------
Plots of cross section differences between various evaluations are shown
below. The legend below applies to all plots shown in this appendix.
...
...
docs/CSAS5.rst
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776347ef
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docs/CSAS5App.rst
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.. _CSAS5App:
Additional Example Applications of CSAS5
========================================
APPENDIX A:
Additional Example Applications of CSAS5
----------------------------------------------------
Several example uses of CSAS5 are shown in this section for a variety of
applications. Note that many of these examples have been provided since
...
...
@@ -228,11 +228,11 @@ Where
C\ :sub:`max` is the maximum constraint for the search
| D\ :sub:`min` is the minimum allowed dimension for the search [For
a chord, D\ :sub:`min` = (Radius:sub:`min` +
a chord, D\ :sub:`min` = (Radius
\
:sub:`min` +
| Chord\ :sub:`min` )/ 2 Radius ] min
| D\ :sub:`max` is the maximum allowed dimension for the search [For
a chord, D\ :sub:`max` = (Radius:sub:`max` +
a chord, D\ :sub:`max` = (Radius
\
:sub:`max` +
| Chord\ :sub:`max` )/ 2 Radius\ :sub:`max`]
D\ :sub:`i` is the initial dimension [For a chord, D\ :sub:`i` =
...
...
docs/CSAS6App.rst
View file @
776347ef
.. _CSAS6App:
Additional Example Applications of CSAS6
========================================
----------------------------------------
Several example uses of CSAS6 are shown in this section for a variety of applications.
...
...
docs/Criticality Safety Overview.rst
View file @
776347ef
Criticality Safety Overview
===========================
.. _2-0:
******************
Criticality Safety
******************
**Introduction by B. T. Rearden**
...
...
@@ -139,3 +142,21 @@ detector response at one location or to calculate multiple
responses/locations with roughly the same relative uncertainty.
.. bibliography:: bibs/CriticalitySafety.bib
.. include:: CSAS5.rst
.. include:: CSAS5App.rst
.. include:: CSAS6.rst
.. include:: CSAS6App.rst
.. include:: STARBUCS.rst
.. include:: Sourcerer.rst
.. include:: DEVC.rst
.. include:: KMART.rst
.. include:: K5toK6.rst
docs/DEVC.rst
View file @
776347ef
..
_
DEVC
:
..
_
2
-
4
A
:
DEVC
:
Denovo
EigenValue
Calculation
===================================
-----------------------------------
*
Douglas
E
.
Peplow
and
Cihangir
Celik
*
...
...
docs/Depletion, Activation, and Spent Fuel Source Terms Overview.rst
View file @
776347ef
.. _5-0:
Depletion, Activation, and Spent Fuel Source Terms Overview
===========================================================
**************************************************
Depletion, Activation, and Spent Fuel Source Terms
**************************************************
*Introduction by W. A. Wieselquist*
...
...
@@ -104,3 +105,13 @@ interface to characterize the fuel inventory for an entire reactor site and
generate data needed for severe accident analysis. ORIGAMI Automator is not
documented in this chapter, but a primer is available with step by step
instructions on its use.
.. include:: ORIGEN.rst
.. include:: ORIGEN-Data.rst
.. include:: ORIGAMI.rst
.. include:: SLIG.rst
.. include:: Origenutil.rst
docs/Deterministic Transport Intro.rst
View file @
776347ef
.. _9-0:
********************************
Deterministic Transport Overview
================================
********************************
*Introduction by S. M. Bowman*
...
...
@@ -16,8 +19,8 @@ CSAS and Sourcerer for criticality safety, TRITON for 1D and 2D
depletion, TSUNAMI‑1D and TSUNAMI-2D for sensitivity and uncertainty
analysis, and MAVRIC for 3D fixed source hybrid Monte Carlo analysis.
XSDRN
-----
.. centered::
XSDRN
XSDRN is a multigroup discrete-ordinates code that solves the 1D
Boltzmann equation in slab, cylindrical, or spherical coordinates.
...
...
@@ -28,8 +31,8 @@ XSDRN is used for several purposes: eigenvalue (*k*\ :sub:`eff`) determination;
cross section collapsing; and computation of fundamental-mode or
generalized adjoint functions for sensitivity analysis.
NEWT
----
.. centered::
NEWT
NEWT (New ESC-based Weighting Transport code) is a multigroup
discrete-ordinates radiation transport computer code with flexible
...
...
@@ -62,8 +65,8 @@ used to compute the adjoint flux solution to generate sensitivity
coefficients for *k\ eff* and other responses of interest with respect
to the cross sections used in the NEWT model.
DENOVO
------
.. centered::
DENOVO
Denovo [1]_ is a parallel 3D discrete-ordinates code available in SCALE
as part of two control module sequences for different applications, as
...
...
@@ -107,10 +110,18 @@ similar to a CSAS6 input file that contains an extra block of input for
describing the Denovo mesh grid and calculational parameters. See the
Sourcerer chapter for details.
Reference
---------
.. centered::
Reference
.. [1]
T. M. Evans, A. S. Stafford, R. N. Slaybaugh, and K. T. Clarno,
“Denovo: A New Three-Dimensional Parallel Discrete Ordinates Code in
SCALE,” *Nuclear Technology* **171**, 171–200 (2010).
.. include:: XSD.rst
.. include:: XSDAppAB.rst
.. include:: NEWT.rst
.. include:: DENOVO.rst
docs/K5toK6.rst
0 → 100644
View file @
776347ef
..
_2
-
6
:
K5toK6
and
C5toC6
:
Input
File
Conversion
Programs
for
KENO
and
CSAS
===================================================================
Introduction
------------
Program
K5TOK6
can
be
used
to
automatically
convert
a
KENO
V
.
a
input
file
to
a
KENO
-
VI
input
file
.
Program
C5TOC6
can
be
used
to
automatically
convert
a
CSAS5
input
file
to
a
CSAS6
input
file
.
This
functionality
can
be
useful
when
converting
a
KENO
V
.
a
validation
sequence
to
a
KENO
-
VI
validation
sequence
.
It
removes
the
problem
of
introducing
a
mistake
or
inadvertently
changing
the
data
when
remodeling
a
geometry
to
the
KENO
-
VI
format
.
For
some
cases
,
however
,
the
converted
model
may
be
a
very
inefficient
KENO
-
VI
model
.
Description
and
Input
Guide
---------------------------
Program
K5TOK6
is
a
utility
program
that
can
be
used
to
automatically
convert
a
KENO
V
.
a
input
file
to
a
KENO
-
VI
input
file
.
Program
C5TOC6
is
a
utility
program
that
can
be
used
to
automatically
convert
a
CSAS5
input
file
to
a
CSAS6
input
file
.
For
program
K5TOK6
,
the
“
=
KENOVA
”
record
in
the
input
stream
is
replaced
by
“
=
K5TOK6
”
.
The
output
file
is
then
named
\
_geom
\
*
nnnnnnn
*
where
*
nnnnnnn
*
is
a
unique
7
-
digit
number
.
This
allows
a
string
of
KENO
V
.
a
problems
to
be
converted
in
one
job
.
For
program
C5TOC6
the
“
=
CSAS
\
*
BB
*\
”
record
in
the
input
stream
(
where
the
*
BB
*
is
5
,
25
,
or
2
x
)
is
replaced
by
“
=
C5TOC6
PARM
=
CSAS5
.
”
The
output
file
is
named
\
_geom
\
*
nnnnnnn
*
where
*
nnnnnnn
*
is
a
unique
7
‑
digit
number
.
For
large
problems
,
the
output
file
may
need
to
be
edited
to
specify
an
increased
value
for
parameter
*
NB8
*
in
KENO
-
VI
and
also
an
increased
value
for
parameter
*
DAB
*
in
CSAS6
.
**
The
conversion
makes
no
attempt
to
optimize
the
output
file
,
so
it
almost
surely
will
be
inefficient
in
its
use
of
storage
,
and
in
its
use
of
bodies
.
This
can
lead
to
models
that
are
very
inefficient
in
their
running
time
also
.**
The
input
/
output
(
I
/
O
)
units
for
K6TOK6
and
C5TOC6
are
given
below
.
Note
that
K5TOK6
requires
the
cross
-
section
library
designated
by
the
“
LIB
=
”
parameter
in
the
KENO
V
.
a
input
file
.
+-------------+---------------------------------------------+
|
Unit
Number
|
Function
|
+-------------+---------------------------------------------+
|
5
|
KENO
V
.
a
(
or
CSAS5
)
input
file
|
|
|
|
|
6
|
Output
|
|
|
|
|
7
|
Input
file
generated
for
KENO
-
VI
(
or
CSAS6
)
|
+-------------+---------------------------------------------+
Sample
K5TOK6
input
file
is
shown
in
:
numref
:`
list2
-
6
-
1
`
and
the
corresponding
converted
KENO
-
VI
input
file
is
shown
in
:
numref
:`
list2
-
6
-
2
`.
Likewise
,
a
C5TOC6
sample
input
file
and
corresponding
converted
CSAS6
input
file
are
shown
in
:
numref
:`
list2
-
6
-
3
`
and
:
numref
:`
list2
-
6
-
4
`,
respectively
.
..
code
-
block
::
scale
:
name
:
list2
-
6
-
1
:
caption
:
Sample
K5TOK6
problem
.
=
k5tok6
93.2
%
uo2f2
h
/
u
-
235
=
337
read
param
npg
=
600
fdn
=
yes
nub
=
yes
lib
=
4
end
param
read
geom
cuboid
1
1
2
p3
.81
2
p60
.325
25.50
0
reflector
2
1
4
r
.318
0
.318
1
cuboid
0
1
2
p4
.128
2
p65
.
150.
-
1.
core
0
1
-
12.384
-
65.
-
29.
cylinder
0
1
142.8
212.
-
60.
cylinder
3
1
144.8
212.
-
62.
cuboid
0
1
275.5
-
638.9
475.
-
744.2
588.
-
62.
reflector
4
1
5
r0
.32
1
reflector
5
1
5
r0
1.27
1
reflector
3
1
5
r0
.64
1
reflector
0
1
5
r0
365
1
reflector
6
2
6
r5
6
reflector
6
8
0
5
4
r0
6
end
geom
read
bias
id
=
301
2
13
end
bias
read
array
nux
=
3
nuy
=
1
nuz
=
1
end
array
end
data
end
..
code
-
block
::
scale
:
name
:
list2
-
6
-
2
:
caption
:
Sample
converted
KENO
-
VI
input
file
.
=
kenovi
93.2
%
uo2f2
h
/
u
-
235
=
337
read
param
npg
=
600
fdn
=
yes
nub
=
yes
lib
=
4
end
param
read
geometry
unit
1
cuboid
1
3.810000E+00
-
3.810000E+00
6.032500E+01
-
6.032500E+01
2.550000E+01
0.000000E+00
media
1
1
1
vol
=
7.033051E+04
cuboid
2
4.128000E+00
-
4.128000E+00
6.064300E+01
-
6.064300E+01
2.550000E+01
-
3.180000E-01
media
2
1
2
-
1
vol
=
7.227070E+03
cuboid
3
4.128000E+00
-
4.128000E+00
6.500000E+01
-
6.500000E+01
1.500000E+02
-
1.000000E+00
media
0
1
3
-
2
-
1
vol
=
4.086382E+05
boundary
3
global
unit
2
cuboid
1
1.238400E+01
-
1.238400E+01
6.500000E+01
-
6.500000E+01
1.220000E+02
-
2.900000E+01
array
1
1
place
1
1
1
-
1.23840E+01
-
6.50000E+01
-
2.90000E+01
cylinder
2
1.428000E+02
2.120000E+02
-
6.000000E+01
origin
x
=
0.000000E+00
y
=
0.000000E+00
media
0
1
2
-
1
vol
=
1.693890E+07
cylinder
3
1.448000E+02
2.120000E+02
-
6.200000E+01
origin
x
=
0.000000E+00
y
=
0.000000E+00
media
3
1
3
-
2
-
1
vol
=
6.232560E+05
cuboid
4
2.755000E+02
-
6.389000E+02
4.750000E+02
-
7.442000E+02
5.880000E+02
-
6.200000E+01
media
0
1
4
-
3
-
2
-
1
vol
=
7.065953E+08
cuboid
5
2.755000E+02
-
6.389000E+02
4.750000E+02
-
7.442000E+02
5.880000E+02
-
6.232000E+01
media
4
1
5
-
4
-
3
-
2
-
1
vol
=
3.568000E+05
cuboid
6
2.755000E+02
-
6.389000E+02
4.750000E+02
-
7.442000E+02
5.880000E+02
-
6.359000E+01
media
5
1
6
-
5
-
4
-
3
-
2
-
1
vol
=
1.415808E+06
cuboid
7
2.755000E+02
-
6.389000E+02
4.750000E+02
-
7.442000E+02
5.880000E+02
-
6.423000E+01
media
3
1
7
-
6
-
5
-
4
-
3
-
2
-
1
vol
=
7.134720E+05
cuboid
8
2.755000E+02
-
6.389000E+02
4.750000E+02
-
7.442000E+02
5.880000E+02
-
4.292300E+02
media
0
1
8
-
7
-
6
-
5
-
4
-
3
-
2
-
1
vol
=
4.069153E+08
cuboid
9
2.805000E+02
-
6.439000E+02
4.800000E+02
-
7.492000E+02
5.930000E+02
-
4.342300E+02
media
6
2
9
-
8
-
7
-
6
-
5
-
4
-
3
-
2
-
1
vol
=
3.316813E+07
cuboid
10
2.855000E+02
-
6.489000E+02
4.850000E+02
-
7.542000E+02
5.980000E+02
-
4.392300E+02
media
6
3
10
-
9
-
8
-
7
-
6
-
5
-
4
-
3
-
2
-
1
vol
=
3.380429E+07
cuboid
11
2.905000E+02
-
6.539000E+02
4.900000E+02
-
7.592000E+02
6.030000E+02
-
4.442300E+02
media
6
4
11
-
10
-
9
-
8
-
7
-
6
-
5
-
4
-
3
-
2
-
1
vol
=
3.444634E+07
cuboid
12
2.955000E+02
-
6.589000E+02
4.950000E+02
-
7.642000E+02
6.080000E+02
-
4.492300E+02
media
6
5
12
-
11
-
10
-
9
-
8
-
7
-
6
-
5
-
4
-
3
-
2
-
1
vol
=
3.509453E+07
cuboid
13
3.005000E+02
-
6.639000E+02
5.000000E+02
-
7.692000E+02
6.130000E+02
-
4.542300E+02
media
6
6
13
-
12
-
11
-
10
-
9
-
8
-
7
-
6
-
5
-
4
-
3
-
2
-
1
vol
=
3.574874E+07
cuboid
14
3.055000E+02
-
6.689000E+02
5.050000E+02
-
7.742000E+02
6.180000E+02
-
4.592300E+02
media
6
7
14
-
13
-
12
-
11
-
10
-
9
-
8
-
7
-
6
-
5
-
4
-
3
-
2
-
1
vol
=
3.640896E+07
cuboid
15
3.055000E+02
-
6.739000E+02
5.050000E+02
-
7.742000E+02
6.180000E+02
-
4.592300E+02
media
6
8
15
-
14
-
13
-
12
-
11
-
10
-
9
-
8
-
7
-
6
-
5
-
4
-
3
-
2
-
1
vol
=
6.889984E+06
cuboid
16
3.055000E+02
-
6.789000E+02
5.050000E+02
-
7.742000E+02
6.180000E+02
-
4.592300E+02
media
6
9
16
-
15
-
14
-
13
-
12
-
11
-
10
-
9
-
8
-
7
-
6
-
5
-
4
-
3
-
2
-
1
vol
=
6.889856E+06
cuboid
17
3.055000E+02
-
6.839000E+02
5.050000E+02
-
7.742000E+02
6.180000E+02
-
4.592300E+02
media
6
10
17
-
16
-
15
-
14
-
13
-
12
-
11
-
10
-
9
-
8
-
7
-
6
-
5
-
4
-
3
-
2
-
1
vol
=
6.889984E+06
cuboid
18
3.055000E+02
-
6.889000E+02
5.050000E+02
-
7.742000E+02
6.180000E+02
-
4.592300E+02
media
6
11
18
-
17
-
16
-
15
-
14
-
13
-
12
-
11
-
10
-
9
-
8
-
7
-
6
-
5
-
4
-
3
-
2
-
1
vol
=
6.889984E+06
cuboid
19
3.055000E+02
-
6.939000E+02
5.050000E+02
-
7.742000E+02
6.180000E+02
-
4.592300E+02
media
6
12
19
-
18
-
17
-
16
-
15
-
14
-
13
-
12
-
11
-
10
-
9
-
8
-
7
-
6
-
5
-
4
-
3
-
2
-
1
vol
=
6.889984E+06
cuboid
20
3.055000E+02
-
6.989000E+02
5.050000E+02
-
7.742000E+02
6.180000E+02
-
4.592300E+02
media
6
13
20
-
19
-
18
-
17
-
16
-
15
-
14
-
13
-
12
-
11
-
10
-
9
-
8
-
7
-
6
-
5
-
4
-
3
-
2
-
1
vol
=
6.889984E+06
boundary
20
end
geometry
read
bias
id
=
301
2
13
end
bias
read
array
nux
=
3
nuy
=
1
nuz
=
1
end
array
end
data
end
..
code
-
block
::
scale
:
name
:
list2
-
6
-
3
:
caption
:
Sample
C5TOC6
problem
.
=
c5toc6
parm
=
csas5
sample
problem
1
case
2
c8
bare
v7
-
238
read
composition
uranium
1
den
=
18.76
1
293
92235
93.2
92238
5.6
92234
1.0
92236
0.2
end
end
composition
read
parameters
flx
=
yes
fdn
=
yes
far
=
yes
htm
=
no
end
parameters
read
geometry
unit
1
cylinder
1
1
5.748
5.3825
-
5.3825
cuboid
0
1
6.87
-
6.87
6.87
-
6.87
6.505
-
6.505
end
geometry
read
array
nux
=
2
nuy
=
2
nuz
=
2
fill
f1
end
fill
end
array
end
data
end
..
code
-
block
::
scale
:
name
:
list2
-
6
-
4
:
caption
:
Sample
converted
CSAS6
output
file
.
=
csas26
sample
problem
1
case
2
c8
bare
v7
-
238
read
composition
uranium
1
den
=
18.76
1
293
92235
93.2
92238
5.6
92234
1.0
92236
0.2
end
end
composition
read
parameters
flx
=
yes
fdn
=
yes
far
=
yes
htm
=
no
end
parameters
read
geometry
unit
1
cylinder
1
5.748000E+00
5.382500E+00
-
5.382500E+00
origin
x
=
0.000000E+00
y
=
0.000000E+00
media
1
1
1
vol
=
8.938970E+03
cuboid
2
6.870000E+00
-
6.870000E+00
6.870000E+00
-
6.870000E+00
6.505000E+00
-
6.505000E+00
media
0
1
2
-
1
vol
=
1.071004E+04
boundary
2
global
unit
2
cuboid
1
2.748000E+01
0.000000E+00
2.748000E+01
0.000000E+00
2.602000E+01
0.000000E+00
array
1
1
place
1
1
1
6.87000E+00
6.87000E+00
6.50500E+00
boundary
1
end
geometry
read
array
nux
=
2
nuy
=
2
nuz
=
2
fill
f1
end
fill
end
array
end
data
end
docs/KMART.rst
View file @
776347ef
.. _
KMART
:
.. _
2-5
:
KMART5 and KMART6: Postprocessors for KENO V.A and KENO-VI
==========================================================
...
...
docs/KenoA.rst
View file @
776347ef
.. _8-1A:
Keno Appendix A: KENO V.a Shape Descriptions
============================================
--------------------------------------------
The geometry **shape**\ s allowed in KENO V.a geometry description are:
...
...
docs/KenoB.rst
View file @
776347ef
.. _8-1B:
Keno Appendix B: KENO VI Shape Descriptions
===========================================
-------------------------------------------
The geometry **shape**\ s allowed in KENO-VI geometry description are:
...
...
docs/KenoC.rst
View file @
776347ef
..
_8
-
1
C
:
Keno
Appendix
C
:
Sample
problems
================================
--------------------------------
This
section
contains
sample
problems
to
demonstrate
some
of
the
options
available
in
KENO
in
stand
-
alone
mode
.
Because
stand
-
alone
KENO
has
no
...
...
docs/Material Specification and Cross Section Processing Overview.rst
View file @
776347ef
.. _7-0:
Material Specification and Cross Section Processing Overview
============================================================
***************************************************
Material Specification and Cross Section Processing
***************************************************
*Introduction by M. L. Williams and B. T. Rearden*
...
...
@@ -205,4 +206,31 @@ which defines a uniform lattice pitch that produces the same Dancoff
value as the nonuniform lattice. The CENTRM transport calculation then
proceeds as usual using 2D MoC or 1D S\ :sub:`n` for the unit cell.
.. include:: XSProc.rst
.. include:: XSProcAppA.rst
.. include:: XSProcAppB.rst
.. include:: XSProcAppC.rst
.. include:: stdcmp.rst
.. include:: BONAMI.rst
.. include:: CENTRM.rst
.. include:: PMC.rst
.. include:: PMCAppAB.rst
.. include:: CHOPS.rst
.. include:: CRAWDAD.rst
.. include:: MCDancoff.rst
.. include:: CAJUN.rst
.. bibliography:: bibs/MaterialSpecificationandCrossSectionProcessing.bib
docs/Monte Carlo Transport Overview.rst
View file @
776347ef
.. _
MCToverview
:
.. _
8-0
:
Monte Carlo Transport Overview
==============================
*********************
Monte Carlo Transport
*********************
*Introduction by B. T. Rearden*
...
...
@@ -22,7 +23,7 @@ TSUNAMI-3D for sensitivity and uncertainty analysis, and MCDancoff for
three-dimensional Dancoff factor calculations.
Multigroup Physics
------------------
The multigroup treatment implemented in SCALE has been in use since the
1960s and provides efficient, effective solutions with superior runtime
...
...
@@ -53,7 +54,7 @@ physics is implemented for neutron, photon, and neutron-photon coupled
particle transport modes.
Continuous-energy Physics
~~~~~~~~~~~~~~~~~~~~~~~~~
The continuous energy treatment in SCALE provides high resolution
solution strategies with explicit physics representation. The continuous
...
...
@@ -80,7 +81,7 @@ calculation. Continuous energy physics is implemented for neutron,
photon, and neutron-photon coupled particle transport modes.
Geometry Packages
-----------------
Two variants of KENO provide identical solution capabilities with
different geometry packages. KENO V.a implements a simple and efficient
...
...
@@ -145,7 +146,6 @@ unit. The judicious use of holes in SGGP can significantly speed up the
calculation.
Eigenvalue Analysis
-------------------
KENO performs eigenvalue calculations for neutron transport primarily to
calculate multiplication factors and flux distributions of fissile
...
...
@@ -205,7 +205,6 @@ process, and then they are processed either for final edits or next
generations.
Shielding Analysis
------------------
Monaco is a fixed-source Monte Carlo shielding code that calculates
neutron and photon fluxes and response functions for specific geometry
...
...
@@ -221,4 +220,15 @@ imported directly from emission data provided by ORIGEN. Spent fuel
analysis is simplified through direct coupling with the ORIGEN binary
concentration files.
.. include:: Keno.rst
.. include:: KenoA.rst
.. include:: KenoB.rst
.. include:: KenoC.rst
.. include:: Monaco.rst
.. bibliography:: bibs/MonteCarloTransport.bib
docs/Nuclear Data Libraries Overview.rst
View file @
776347ef
.. _10-0: