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ahojukka5 committed Nov 16, 2017
2 parents 110acde + d884621 commit b83e359
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1 change: 1 addition & 0 deletions src/FEMBase.jl
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Expand Up @@ -36,5 +36,6 @@ export Poi1, Seg2, Seg3, Tri3, Tri6, Tri7, Quad4, Quad8, Quad9,
export update!, add_elements!, add!, get_gdofs, group_by_element_type,
get_unknown_field_name, get_unknown_field_dimension,
get_integration_points, initialize!, assemble!
export DCTI, DVTI, DCTV, DVTV, CCTI, CVTI, CCTV, CVTV

end
5 changes: 5 additions & 0 deletions src/assembly.jl
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Expand Up @@ -44,6 +44,11 @@ function assemble!(problem::Problem, time=0.0; auto_initialize=true)
return true
end

function assemble!{P}(assembly::Assembly, problem::Problem{P}, element::Element, time)
warn("One must define assemble! function for problem of type $P. Not doing anything.")
return nothing
end

function assemble!(assembly::Assembly, problem::Problem, elements::Vector{Element}, time)
warn("assemble!() this is default assemble operation, decreased performance can be expected without preallocation of memory!")
for element in elements
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5 changes: 5 additions & 0 deletions src/problems.jl
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Expand Up @@ -395,6 +395,11 @@ function get_unknown_field_dimension(problem::Problem)
return problem.dimension
end

function get_unknown_field_name{P<:AbstractProblem}(::Type{P})
warn("The name of unknown field (e.g. displacement, temperature, ...) of the problem type must be given by defining function `get_unknown_field_name`")
return "N/A"
end

""" Return the name of the unknown field of this problem. """
function get_unknown_field_name{P}(problem::Problem{P})
return get_unknown_field_name(P)
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6 changes: 6 additions & 0 deletions test/runtests.jl
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Expand Up @@ -6,6 +6,12 @@ using TimerOutputs
const to = TimerOutput()

test_files = String[]
push!(test_files, "test_add_elements.jl")
push!(test_files, "test_common_failures.jl")
push!(test_files, "test_elements.jl")
push!(test_files, "test_elements_2.jl")
push!(test_files, "test_fields.jl")
push!(test_files, "test_integration_points.jl")

@testset "FEMBase.jl" begin
for fn in test_files
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16 changes: 16 additions & 0 deletions test/test_add_elements.jl
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@@ -0,0 +1,16 @@
# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/FEMBase.jl/blob/master/LICENSE

using FEMBase
using Base.Test

type Dummy <: FEMBase.FieldProblem
end

@testset "add elements to problem" begin
problem = Problem(Dummy, "test", 2)
element = Element(Quad4, [1, 2, 3, 4])
elements = [element]
add_elements!(problem, elements)
@test problem.elements[1] == element
end
15 changes: 15 additions & 0 deletions test/test_common_failures.jl
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# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/FEMBase.jl/blob/master/LICENSE

using FEMBase
using Base.Test

type Dummy <: FieldProblem end

@testset "no unknown field name or assemble!-function defined" begin
el = Element(Quad4, [1, 2, 3, 4])
pr = Problem(Dummy, "problem", 2)
add_elements!(pr, [el])
assemble!(pr)
@test true
end
75 changes: 75 additions & 0 deletions test/test_elements.jl
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# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/FEMBase.jl/blob/master/LICENSE

using FEMBase
using Base.Test

using FEMBase: group_by_element_type

@testset "add time dependent field to element" begin
el = Element(Seg2, [1, 2])
u1 = Vector{Float64}[[0.0, 0.0], [0.0, 0.0]]
u2 = Vector{Float64}[[1.0, 1.0], [1.0, 1.0]]
update!(el, "displacement", 0.0 => u1)
update!(el, "displacement", 1.0 => u2)
@test length(el["displacement"]) == 2
@test isapprox(el("displacement", [0.0], 0.0), [0.0, 0.0])
@test isapprox(el("displacement", [0.0], 0.5), [0.5, 0.5])
@test isapprox(el("displacement", [0.0], 1.0), [1.0, 1.0])
el2 = Element(Poi1, [1])
update!(el2, "force 1", 0.0 => 1.0)
end

@testset "add CVTV field to element" begin
el = Element(Seg2, [1, 2])
f(xi, time) = xi[1]*time
update!(el, "my field", f)
v = el("my field", [1.0], 2.0)
@test isapprox(v, 2.0)
end

@testset "add DCTI to element" begin
el = Element(Quad4, [1, 2, 3, 4])
update!(el, "displacement load", DCTI([4.0, 8.0]))
@test isa(el["displacement load"], DCTI)
@test !isa(el["displacement load"].data, DCTI)
update!(el, "displacement load 2", [4.0, 8.0])
@test isa(el["displacement load 2"], DCTI)
update!(el, "temperature", [1.0, 2.0, 3.0, 4.0])
@test isa(el["temperature"], DVTI)
@test isapprox(el("displacement load", [0.0, 0.0], 0.0), [4.0, 8.0])
end

@testset "interpolate DCTI from element" begin
el = Element(Seg2, [1, 2])
update!(el, "foobar", 1.0)
fb = el("foobar", [0.0], 0.0)
@test isa(fb, Float64)
@test isapprox(fb, 1.0)
end

@testset "add elements to elements" begin
el1 = Element(Seg2, [1, 2])
el2 = Element(Seg2, [3, 4])
update!(el1, "master elements", [el2])
lst = el1("master elements", 0.0)
@test isa(lst, Vector)
end

@testset "extend basis" begin
el = Element(Quad4, [1, 2, 3, 4])
expected = [
0.25 0.00 0.25 0.00 0.25 0.00 0.25 0.00
0.00 0.25 0.00 0.25 0.00 0.25 0.00 0.25]
@test isapprox(el([0.0, 0.0], 0.0, 2), expected)
end

@testset "group elements" begin
e1 = Element(Seg2, [1, 2])
e2 = Element(Quad4, [1, 2, 3, 4])
elements = [e1, e2]
r = group_by_element_type(elements)
@test length(r) == 2
@test first(r[Element{Seg2}]) == e1
@test first(r[Element{Quad4}]) == e2
end
54 changes: 54 additions & 0 deletions test/test_elements_2.jl
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# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/FEMBase.jl/blob/master/LICENSE

using FEMBase
using FEMBase: get_local_coordinates, inside
using Base.Test

@testset "inverse isoparametric mapping" begin
el = Element(Quad4, [1, 2, 3, 4])
X = Dict{Int64, Vector{Float64}}(
1 => [0.0, 0.0],
2 => [1.0, 0.0],
3 => [1.0, 1.0],
4 => [0.0, 1.0])
update!(el, "geometry", X)
time = 0.0
X1 = el("geometry", [0.1, 0.2], time)
xi = get_local_coordinates(el, X1, time)
X2 = el("geometry", xi, time)
info("X1 = $X1, X2 = $X2")
@test isapprox(X1, X2)
end

@testset "inside of linear element" begin
el = Element(Quad4, [1, 2, 3, 4])
X = Dict{Int64, Vector{Float64}}(
1 => [0.0, 0.0],
2 => [1.0, 0.0],
3 => [1.0, 1.0],
4 => [0.0, 1.0])
update!(el, "geometry", X)
time = 0.0
@test inside(el, [0.5, 0.5], time) == true
@test inside(el, [1.0, 0.5], time) == true
@test inside(el, [1.0, 1.0], time) == true
@test inside(el, [1.01, 1.0], time) == false
@test inside(el, [1.0, 1.01], time) == false
end

@testset "inside of quadratic element" begin
el = Element(Tri6, [1, 2, 3, 4, 5, 6])
X = Dict{Int64, Vector{Float64}}(
1 => [0.0, 0.0],
2 => [1.0, 0.0],
3 => [0.0, 1.0],
4 => [0.5, 0.2],
5 => [0.8, 0.6],
6 => [-0.2, 0.5])
update!(el, "geometry", X)
p = [0.94, 0.3] # visually checked to be inside
@test inside(el, p, 0.0) == true
p = [-0.2, 0.8] # visually checked to be outside
@test inside(el, p, 0.0) == false
end
176 changes: 176 additions & 0 deletions test/test_fields.jl
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# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/FEMBase.jl/blob/master/LICENSE

using FEMBase
using FEMBase: Field
using Base.Test

@testset "discrete, constant, time invariant field" begin
@test DCTI(0.0).data == 0.0
@test isa(Field(0.0), DCTI)
f = DCTI(0.0)
update!(f, 1.0)
@test isapprox(f, DCTI(1.0))
@test isapprox(f, 1.0)
@test 2*f == 2.0 # multiply by constant
@test f(1.0) == 1.0 # time interpolation
@test isapprox(reshape([2.0],1,1)*f, 2.0) # wanted behavior?
end

@testset "discrete, variable, time invariant field" begin
@test DVTI([1.0, 2.0]).data == [1.0, 2.0]
@test isa(Field([1.0, 2.0]), DVTI)

f = DVTI(zeros(2))
update!(f, [2.0, 3.0])
@test isapprox(f.data, [2.0, 3.0])
@test length(f) == 2

# slicing
@test isapprox(f[1], 2.0)
@test isapprox(f[[1, 2]], [2.0, 3.0])

# boolean comparison and multiplying by a constant
@test f == DVTI([2.0, 3.0])
@test isapprox(2*f, [4.0, 6.0])

f3 = 2*f
@test isa(f3, DVTI)
@test f3+f == 3*f
@test f3-f == f

# spatial interpolation
N = [1.0, 2.0]
@test isapprox(N*f, 8.0)

# time interpolation
@test isapprox(f(1.0), [2.0, 3.0])

# spatial interpolation of vector valued variable field
f2 = DVTI(Vector[[1.0, 2.0], [3.0, 4.0]])
@test isapprox(f2[1], [1.0, 2.0])
@test isapprox(f2[2], [3.0, 4.0])
@test length(f2) == 2
@test isapprox(N*f2, [1.0, 2.0] + [6.0, 8.0])

# iteration of DVTI field
s = zeros(2)
for j in f2
s += j
end
@test isapprox(s, [4.0, 6.0])

@test vec(f2) == [1.0, 2.0, 3.0, 4.0]
@test isapprox([1.0 2.0]*f, [8.0]'')

new_data = [2.0, 3.0, 4.0, 5.0]
f4 = similar(f2, new_data)
@test isa(f4, DVTI)
@test isapprox(f4.data[1], [2.0, 3.0])
@test isapprox(f4.data[2], [4.0, 5.0])
end

@testset "discrete, constant, time-variant field" begin
f = Field(0.0 => 1.0)
@test isa(f, DCTV)
@test last(f).time == 0.0
@test last(f).data == 1.0
update!(f, 0.0 => 2.0)
@test last(f).time == 0.0
@test last(f).data == 2.0
@test length(f) == 1
update!(f, 1.0 => 3.0)
@test last(f).time == 1.0
@test last(f).data == 3.0
@test length(f) == 2

@testset "interpolation in time direction" begin
@test isa(f(0.0), DCTI) # converts to time-invariant after time interpolation
@test isapprox(f(-1.0), 2.0)
@test isapprox(f(0.0), 2.0)
@test isapprox(f(0.5), 2.5)
@test isapprox(f(1.0), 3.0)
@test isapprox(f(2.0), 3.0)
end

# create several time steps at once
f = DCTV(0.0 => 1.0, 1.0 => 2.0)
@test isapprox(f(0.5), 1.5)

end

@testset "discrete, variable, time-variant field" begin
f = Field(0.0 => [1.0, 2.0])
@test isa(f, DVTV)
@test last(f).time == 0.0
@test last(f).data == [1.0, 2.0]
update!(f, 0.0 => [2.0, 3.0])
@test last(f).time == 0.0
@test last(f).data == [2.0, 3.0]
@test length(f) == 1
update!(f, 1.0 => [3.0, 4.0])
@test last(f).time == 1.0
@test last(f).data == [3.0, 4.0]
@test length(f) == 2

@testset "interpolation in time direction" begin
@test isa(f(0.0), DVTI) # converts to time-invariant after time interpolation
@test isapprox(f(-1.0), [2.0, 3.0])
@test isapprox(f(0.0), [2.0, 3.0])
@test isapprox(f(0.5), [2.5, 3.5])
@test isapprox(f(1.0), [3.0, 4.0])
@test isapprox(f(2.0), [3.0, 4.0])
end

# create several time steps at once
f = DVTV(0.0 => [1.0, 2.0], 1.0 => [2.0, 3.0])
@test isapprox(f(0.5), [1.5, 2.5])
end

@testset "continuous, constant, time-invariant field" begin
f = Field(() -> 2.0)
@test isapprox(f([1.0], 2.0), 2.0)

end

@testset "continuous, constant, time variant field" begin
f = Field((time::Float64) -> 2.0*time)
@test isapprox(f([1.0], 2.0), 4.0)

end

@testset "continuous, variable, time invariant field" begin
f = Field((xi::Vector) -> sum(xi))
@test isapprox(f([1.0, 2.0], 2.0), 3.0)
end

@testset "continuous, variable, time variant field" begin
f = Field((xi::Vector, t::Float64) -> xi[1]*t)
@test isapprox(f([1.0], 2.0), 2.0)
end

@testset "unknown function argument for continuous field" begin
@test_throws ErrorException Field((a, b, c) -> a*b*c)
end

@testset "dictionary fields" begin
f1 = Dict{Int64, Vector{Float64}}(1 => [0.0, 0.0], 2 => [0.0, 0.0])
f2 = Dict{Int64, Vector{Float64}}(1 => [1.0, 1.0], 2 => [1.0, 1.0])
f = Field(0.0 => f1, 1.0 => f2)
@test isa(f, DVTV)
@test isapprox(f(0.0)[1], [0.0, 0.0])
@test isapprox(f(1.0)[2], [1.0, 1.0])

f = Field(0.0 => f1)
update!(f, 1.0 => f2)
@test isa(f, DVTV)
@test isapprox(f(0.0)[1], [0.0, 0.0])
@test isapprox(f(1.0)[2], [1.0, 1.0])

f = Field(f1)
@test isapprox(f(0.0)[1], [0.0, 0.0])
@test isapprox(f[1], [0.0, 0.0])

f = Field(f1)
@test isa(f, DVTI)
end

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