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JuliaFEM.jl/test/test_fields.jl
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2015-10-30 12:40:56 +02:00

294 lines
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Julia

# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/JuliaFEM.jl/blob/master/LICENSE.md
module TypesTests
using JuliaFEM: Increment, TimeStep, AbstractField, DefaultDiscreteField, FieldSet
using JuliaFEM: TemporalBasis, SpatialBasis, ContinuousField, DiscreteField
using JuliaFEM: Field
using Base.Test
function test_increment()
info("testing Increment")
# testing Increment
I1 = Increment([1, 2, 3])
I2 = Increment([2, 3, 4])
@test dot(I1, I2) == 20
@test dot([1,2,3], I2) == 20
@test dot(I1, [2,3,4]) == 20
@test 1/2*(I1+I2) == [1.5, 2.5, 3.5]
@test I1 + 1 == [2, 3, 4]
@test I1 - 1 == [0, 1, 2]
@test I1*3 == [3, 6, 9]
@test I1+I2 == [3, 5, 7]
f = zeros(Increment, 2, 4)
@test length(f) == 4
g = similar(f, ones(8))
@test typeof(f) == typeof(g)
@test length(f) == length(g)
# promotion of increment
@test typeof(I1+1) == typeof(I1)
@test typeof(I1-1) == typeof(I1)
@test typeof(I1*3) == typeof(I1)
# FIXME
#@test typeof(I1) == typeof(I1+I2)
#@test typeof(I1/2) == typeof(I1)
#@test typeof(1/2*S1) == typeof(I1)
end
test_increment()
function test_timestep()
info("testing TimeStep")
i1 = Increment([1, 2, 3])
i2 = Increment([2, 3, 4])
i3 = Increment([2, 3, 4])
i4 = Increment([3, 4, 5])
t1 = TimeStep(1.0, Increment[i1, i2])
t2 = TimeStep(2.0, Increment[i3, i4])
@test length(t1) == length(t2) == 2
t3 = TimeStep(3.0, i1+1)
end
test_timestep()
function test_watta_fak()
# TODO: this test will fail if Increment is typealiased to Vector
fs = FieldSet()
fs["discrete field"] = [1, 2, 3, 4]
T0 = last(fs["discrete field"])
info("last discrete field: $T0, ", typeof(T0))
T1 = T0 + 1
info("adding 1 to discrete field: $T1, ", typeof(T1))
ts = TimeStep(1.0, T1)
info("creating time step: $ts, ", typeof(ts))
push!(fs["discrete field"], ts)
info("last discrete field = ", last(fs["discrete field"]))
info("fieldset: $fs")
@test last(fs["discrete field"]) == [2, 3, 4, 5]
end
test_watta_fak()
function test_default_discrete_field()
info("testing DefaultDiscreteField")
i1 = Increment([1, 2, 3])
i2 = Increment([2, 3, 4])
i3 = Increment([2, 3, 4])
i4 = Increment([3, 4, 5])
t1 = TimeStep(1.0, Increment[i1, i2])
t2 = TimeStep(2.0, Increment[i3, i4])
timesteps = TimeStep[t1, t2]
f1 = DefaultDiscreteField(timesteps)
@test length(f1) == 2
@test isa(f1, AbstractField) == true
end
test_default_discrete_field()
function test_fieldset()
i1 = Increment([1, 2, 3])
i2 = Increment([2, 3, 4])
i3 = Increment([2, 3, 4])
i4 = Increment([3, 4, 5])
t1 = TimeStep(1.0, Increment[i1, i2])
t2 = TimeStep(2.0, Increment[i3, i4])
timesteps = TimeStep[t1, t2]
f1 = DefaultDiscreteField(timesteps)
info("testing adding discrete field to FieldSet")
fs = FieldSet()
fs["temperature"] = f1
@test length(fs) == 1
info("testing adding discrete fields quickly")
# the easy way
fs2 = FieldSet()
fs2["temperature"] = [1, 2, 3, 4]
@test fs2["temperature"][end][end] == [1, 2, 3, 4]
@test last(fs2["temperature"]) == [1, 2, 3, 4]
fs2 = FieldSet()
fs2["constant scalar field"] = 1
fs2["scalar field"] = [1, 2, 3, 4]
fs2["vector field"] = reshape(collect(1:8), 2, 4)
fs2["second order tensor field"] = reshape(collect(1:3*3*4), 3, 3, 4)
fs2["fourth order tensor field"] = reshape(collect(1:3*3*3*3*4), 3, 3, 3, 3, 4)
timestep = fs2["vector field"][end]
@test timestep.time == 0.0
info("testing adding timesteps")
# add another timestep
fs = FieldSet()
fs["temperature"] = [1, 2, 3, 4]
T0 = last(fs["temperature"]) # last increment of last field
info("last temperature = $T0")
T1 = T0 + 1
@test typeof(T0) == typeof(T1)
timestep = TimeStep(1.0, Increment[T1]) # new list of increments for timestep
push!(fs["temperature"], timestep)
T2 = last(fs["temperature"])
info("last temperature = $T2")
@test last(fs["temperature"]) == [2, 3, 4, 5]
# or more easily
timestep = TimeStep(2.0, T1)
push!(fs["temperature"], timestep)
@test length(fs["temperature"].timesteps) == 3
info("test adding several time steps at once")
fs3 = FieldSet()
fs3["time series 1"] = (0.0, [1, 2, 3, 4]), (0.5, [2, 3, 4, 5]), (1.0, [1, 1, 1, 1])
@test fs3["time series 1"][end].time == 1.0
fs3["time series 2"] = [1, 2, 3, 4], [2, 3, 4, 5], [1, 1, 1, 1]
@test fs3["time series 2"][end].time == 2.0
end
test_fieldset()
type MyFunnyContinuousField <: ContinuousField
basis :: Function
discretefield :: DiscreteField
end
function Base.call(field::MyFunnyContinuousField, xi::Vector, time::Number=1.0)
data = last(field.discretefield) # get the last timestep last increment
info("data = $data, typeof data = $(typeof(data))")
basis = time*field.basis(xi) # evaluate basis at point ξ.
sum([basis[i]*data[i] for i=1:length(data)]) # sum results
end
function test_continuous_field()
info("testing continuous field")
fs = FieldSet()
fs["discrete field"] = [1, 2, 3, 4]
basis(xi) = 1/4*[
(1-xi[1])*(1-xi[2]),
(1+xi[1])*(1-xi[2]),
(1+xi[1])*(1+xi[2]),
(1-xi[1])*(1+xi[2])]
fs["continuous field"] = MyFunnyContinuousField(basis, fs["discrete field"])
@test fs["continuous field"]([0.0, 0.0], 1.0) == 1/4*(1+2+3+4)
T0 = last(fs["discrete field"])
T1 = T0 + 1.0
ts = TimeStep(1.0, T1)
push!(fs["discrete field"], TimeStep(1.0, T0+1.0))
@test fs["continuous field"]([0.0, 0.0], 1.0) == 1/4*(2+3+4+5)
end
test_continuous_field()
type MyFunnyDiscreteField <: DiscreteField
discrete_points :: Vector
continuousfield :: ContinuousField
end
Base.length(field::MyFunnyDiscreteField) = length(field.discrete_points)
Base.endof(field::MyFunnyDiscreteField) = endof(field.discrete_points)
Base.last(field::MyFunnyDiscreteField) = Float64[field[i] for i=1:length(field)]
function Base.getindex(field::MyFunnyDiscreteField, idx::Int64)
field.continuousfield(field.discrete_points[idx])
end
function test_discrete_field()
info("testing discrete field")
fs = FieldSet()
fs["discrete field"] = [1, 2, 3, 4]
basis(xi) = 1/4*[
(1-xi[1])*(1-xi[2]),
(1+xi[1])*(1-xi[2]),
(1+xi[1])*(1+xi[2]),
(1-xi[1])*(1+xi[2])]
fs["continuous field"] = MyFunnyContinuousField(basis, fs["discrete field"])
discrete_points = 1.0/sqrt(3.0)*Vector[[-1, -1], [1, -1], [1, 1], [-1, 1]]
fs["discrete field 2"] = MyFunnyDiscreteField(discrete_points, fs["continuous field"])
@test last(fs["discrete field 2"]) [
1.7559830641437073,
2.0893163974770410,
2.9106836025229590,
3.2440169358562922]
end
test_discrete_field()
function test_interpolation_in_temporal_basis()
info("testing interpolation on temporal basis")
temporalbasis = TemporalBasis((t) -> [1-t, t], (t) -> [-1, 1])
@test temporalbasis(0.2) == [0.8, 0.2]
i1 = Increment([0.0])
i2 = Increment([1.0])
i3 = Increment([2.0])
t1 = TimeStep(0.0, Increment[i1])
t2 = TimeStep(2.0, Increment[i2])
t3 = TimeStep(4.0, Increment[i3])
field = Field(TimeStep[t1, t2, t3])
@test call(field, temporalbasis, -Inf) == [0.0]
@test call(field, temporalbasis, 0.0) == [0.0]
@test call(field, temporalbasis, 1.0) == [0.5]
@test call(field, temporalbasis, 2.0) == [1.0]
@test call(field, temporalbasis, 3.0) == [1.5]
@test call(field, temporalbasis, 4.0) == [2.0]
@test call(field, temporalbasis, +Inf) == [2.0]
@test call(field, temporalbasis, +Inf, Val{:derivative}) == [0.5]
@test call(field, temporalbasis, -Inf, Val{:derivative}) == [0.5]
@test call(field, temporalbasis, 0.0, Val{:derivative}) == [0.5]
@test call(field, temporalbasis, 0.5, Val{:derivative}) == [0.5]
@test call(field, temporalbasis, 1.0, Val{:derivative}) == [0.5]
@test call(field, temporalbasis, 1.5, Val{:derivative}) == [0.5]
@test call(field, temporalbasis, 2.0, Val{:derivative}) == [0.5]
fs = FieldSet()
t = collect(linspace(0, 2, 5))
x = 1/2*t.^2
x2 = tuple(collect(zip(t, x))...)
# => ((0.0,0.0),(0.5,0.125),(1.0,0.5),(1.5,1.125),(2.0,2.0))
fs["particle"] = x2
position = call(fs["particle"], temporalbasis, 1.0)[1]
@test position 0.50
velocity = call(fs["particle"], temporalbasis, 2.0, Val{:derivative})[1]
@test velocity (2.0-1.125)/0.5 # = 1.75
velocity = call(fs["particle"], temporalbasis, 1.0, Val{:derivative})[1]
v1 = (0.500 - 0.125)/0.5
v2 = (1.125 - 0.500)/0.5
info("v1 = $v1, v2 = $v2")
info(mean([v1, v2]))
@test velocity mean([v1, v2]) # = 1.00
# FIXME, returns wrong type.
#=
@test isa(position, Increment) == true
@test isa(velocity, Increment) == true
=#
end
test_interpolation_in_temporal_basis()
function test_interpolation_in_spatial_basis()
info("testing interpolation on spatial basis")
basis(xi) = 1/4*[
(1-xi[1])*(1-xi[2])
(1+xi[1])*(1-xi[2])
(1+xi[1])*(1+xi[2])
(1-xi[1])*(1+xi[2])]'
dbasis(xi) = 1/4*[
-(1-xi[2]) (1-xi[2]) (1+xi[2]) -(1+xi[2])
-(1-xi[1]) -(1+xi[1]) (1+xi[1]) (1-xi[1])]
spatialbasis = SpatialBasis(basis, dbasis)
@test spatialbasis.basis([0.0, 0.0]) == 1/4*[1 1 1 1]
fs = FieldSet()
fs["geometry"] = Vector{Float64}[[0.0,0.0], [1.0,0.0], [1.0,1.0], [0.0,1.0]]
fs["displacement"] = (0.0, zeros(2, 4)), (1.0, Vector[[0.0, 0.0], [0.0, 0.0], [0.25, 0.0], [0.0, 0.0]])
X = call(last(fs["geometry"]), spatialbasis, [0.0, 0.0])
u = call(last(fs["displacement"]), spatialbasis, [0.0, 0.0])
x = X+u
@test X 1/2*[1, 1]
@test x [9/16, 1/2]
gradu = call(last(fs["displacement"]), spatialbasis, [0.0, 0.0], last(fs["geometry"]), Val{:gradient})
@test gradu [0.125 0.125; 0.0 0.0]
end
test_interpolation_in_spatial_basis()
println("test_fields.jl: all test passing.")
end