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nearest_point_layered_side_integral.i
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nearest_point_layered_side_integral.i
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# This input computes both a layered average and layered integral with the
# same direction, points, and number of layers. The layered integral for "bin"
# i is directly equal to the layered average for "bin" i multiplied by
# by 0.05 (side length of 1 divided by 10 layers X side length of 1 divided by 2 points).
[Mesh]
type = GeneratedMesh
dim = 3
nx = 10
ny = 10
nz = 10
[]
[Variables]
[dummy]
[]
[]
[Kernels]
[diffusion]
type = Diffusion
variable = dummy
[]
[]
[AuxVariables]
[u]
[]
[]
[AuxVariables]
[np_layered_integral]
order = CONSTANT
family = MONOMIAL
[]
[np_layered_average]
order = CONSTANT
family = MONOMIAL
[]
[]
[AuxKernels]
[u]
type = FunctionAux
variable = u
function = u
[]
[np_layered_integral]
type = SpatialUserObjectAux
variable = np_layered_integral
user_object = npli
boundary = 'front'
execute_on = timestep_end
[]
[np_layered_average]
type = SpatialUserObjectAux
variable = np_layered_average
user_object = npla
boundary = 'front'
execute_on = timestep_end
[]
[]
[Functions]
[u]
type = ParsedFunction
value = 'x+2*y+3*z'
[]
[]
[UserObjects]
[npla]
type = NearestPointLayeredSideAverage
direction = x
points = '0.5 0.25 0.5
0.5 0.75 0.5'
num_layers = 10
variable = u
boundary = 'front'
[]
[npli]
type = NearestPointLayeredSideIntegral
direction = x
points = '0.5 0.25 0.5
0.5 0.75 0.5'
num_layers = 10
variable = u
boundary = 'front'
[]
[]
[Executioner]
type = Steady
[]
[Outputs]
exodus = true
hide = 'dummy'
[]