Item('config_dict'),
Item('rand_list'),
HGroup(
Item('calculate', show_label=False),
Item('redraw', show_label=False),
Item('clear', show_label=False),
Item('redraw_in_window', show_label=False),
),
Item('figure',
editor=MPLFigureEditor(),
resizable=True,
show_label=False),
buttons=['OK', 'Cancel'])
RunTable.db = SimDBClassExt(klass=RunTable, )
def add_studies():
''' Run a study and save it to the file'''
rand_list = [arange(0, i) for i in range(1, 11)]
print rand_list
memsize = 5e4 # 3e+7 maximum
rf = RFCosParam()
rt = RunTable(name='cos', rf=rf, memsize=memsize, rand_list=rand_list)
RunTable.db['cos'] = rt
rt.save()
ConcreteMixture.db = SimDBClassExt(
klass=ConcreteMixture,
constants={
# NOTE: log = natural logarithm ("ln")
'PZ-0708-1':
ConcreteMixture(E_m28=33036.,
get_E_m_time=lambda t: 4665. * log(t + 0.024) + 17487.,
nu=0.25),
'FIL-10-09':
ConcreteMixture(
E_m28=28700.,
# function for the evolution derived based on only
# three values: Em0 = 0, Em7 = 23600, Em28 = 28700
get_E_m_time=lambda t: 3682. * log(t + 0.012) + 16429.,
nu=0.25),
'FIL-Standard-SF':
ConcreteMixture(
E_m28=31000.,
# function for the evolution unknown
get_E_m_time=lambda t: 31000.,
nu=0.2),
'barrelshell':
ConcreteMixture(
# E_m28 = 22721., #
E_m28=19800., # based on cylinder tests
get_E_m_time=lambda t:
19800., # @todo: specify time function for evolution of E-modulus; so far value for 28d is used;
nu=0.25),
'shotcrete-4mm':
ConcreteMixture(
E_m28=30000., # @todo: approximation only
# @todo: function for the evolution derived based on only
# three values: Em0 = 0, Em7 = 23600, Em28 = 28700
get_E_m_time=lambda t:
30000., # @todo: specify time function for evolution of E-modulus; so far value for 28d is used;
nu=0.2 # @todo: approximation only
),
'sto-100':
ConcreteMixture(
E_m28=30000., # @todo: approximation only
# function for the evolution derived based on only
# three values: Em0 = 0, Em7 = 23600, Em28 = 28700
get_E_m_time=lambda t:
30000., # @todo: specify time function for evolution of E-modulus; so far value for 28d is used;
nu=0.2 # @todo: approximation only
),
'flowstone':
ConcreteMixture(
E_m28=30000., # @todo: approximation only
# function for the evolution derived based on only
# three values: Em0 = 0, Em7 = 23600, Em28 = 28700
get_E_m_time=lambda t:
30000., # @todo: specify time function for evolution of E-modulus; so far value for 28d is used;
nu=0.2 # @todo: approximation only
),
'Pagel_TF10':
ConcreteMixture(
E_m28=30000., # @todo: approximation only
# function for the evolution derived based on only
# three values: Em0 = 0, Em7 = 23600, Em28 = 28700
get_E_m_time=lambda t:
30000., # @todo: specify time function for evolution of E-modulus; so far value for 28d is used;
nu=0.2 # @todo: approximation only
),
'HPC_TU_WIEN':
ConcreteMixture(
E_m28=30000., # @todo: approximation only
get_E_m_time=lambda t:
30000., # @todo: specify time function for evolution of E-modulus; so far value for 28d is used;
nu=0.2 # @todo: approximation only
),
'UHPC_TU_WIEN':
ConcreteMixture(
E_m28=30000., # @todo: approximation only
get_E_m_time=lambda t:
30000., # @todo: specify time function for evolution of E-modulus; so far value for 28d is used;
nu=0.2 # @todo: approximation only
),
'HPC_SF1.5_TU_WIEN':
ConcreteMixture(
E_m28=30000., # @todo: approximation only
get_E_m_time=lambda t:
30000., # @todo: specify time function for evolution of E-modulus; so far value for 28d is used;
nu=0.2 # @todo: approximation only
),
'UHPC_SF2.0_TU_WIEN':
ConcreteMixture(
E_m28=30000., # @todo: approximation only
get_E_m_time=lambda t:
30000., # @todo: specify time function for evolution of E-modulus; so far value for 28d is used;
nu=0.2 # @todo: approximation only
),
})
# Item('E_c28',
# style = 'readonly', show_label = True, format_str="%.0f" ),
# label = 'derived params',
# id = 'exdb.ccsuc.dp',
# dock = 'tab',
# ),
dock='tab',
id='exdb.ccsuc.db.vsplit',
orientation='vertical',
),
dock='tab',
id='ccsuc.db',
scrollable=True,
resizable=True,
height=0.4,
width=0.5,
buttons=['OK', 'Cancel'],
)
# Setup the database class extension
#
CCSUnitCell.db = SimDBClassExt(
klass=CCSUnitCell,
verbose='io',
)
if __name__ == '__main__':
CCSUnitCell.db.configure_traits()
FabricLayOut.db = SimDBClassExt(
klass=FabricLayOut,
constants={
'unreinforced':
FabricLayOut(
a_tex_0=0.,
a_tex_90=0.,
E_tex_0=0.,
E_tex_90=0.,
s_tex_0=1.,
s_tex_90=1.,
),
# AR-glas textile (2400 tex) compact binding (Franse):
# new textile tag "2D-03-08" corresponds to "MAG-07-03"
#
'MAG-07-03':
FabricLayOut(
a_tex_0=107.89,
a_tex_90=106.61,
# E_tex_0=72000.,
# E_tex_90=72000.,
E_tex_0=66831., # (l=500mm;2400tex;200mm/min)
E_tex_90=66831., # (l=500mm;2400tex;200mm/min)
s_tex_0=8.3,
s_tex_90=8.4,
),
# AR-glas textile (2400 tex) tricot binding:
#
'2D-15-10':
FabricLayOut(
a_tex_0=107.89,
a_tex_90=106.61,
# E_tex_0=72000.,
# E_tex_90=72000.,
E_tex_0=66831., # (l=500mm;2400tex;200mm/min)
E_tex_90=66831., # (l=500mm;2400tex;200mm/min)
s_tex_0=8.3,
s_tex_90=8.4,
),
# AR-glas textile (2 x 1200 tex in 0-direction):
#
'2D-02-06a':
FabricLayOut(
a_tex_0=71.65,
a_tex_90=53.31,
# E_tex_0=72000.,
# E_tex_90=72000.,
E_tex_0=66831., # (l=500mm;2400tex;200mm/min)
E_tex_90=66831., # (l=500mm;2400tex;200mm/min)
s_tex_0=12.5,
s_tex_90=8.4,
),
# carbon textile / tricot binding ("Trikot")
# 2 x 800 tex in 0-direction (2v1l): spacing 12,5 mm
# 1 x 800 tex in 90-direction (1v1l): effective spacing of 7.7 mm!
#
'2D-14-10':
FabricLayOut(
a_tex_0=73.89,
a_tex_90=58., # 53.9 * 8.4mm / 7.7mm
E_tex_0=
180862., # stiffness value taken from yarn tests 1600tex, l=300mmm;
E_tex_90=
180862., # stiffness value taken from yarn tests 1600tex, l=300mmm;
s_tex_0=12.5,
s_tex_90=5.83, # input for manufacturing machine was 8.4 mm!
),
# carbon textile / tricot binding ("Trikot")
# 1 x 800 tex in 0-direction (1v1l): 8.3 mm
# 1 x 800 tex in 90-direction (1v1l): effective spacing of 7.7 mm!
#
'2D-04-11':
FabricLayOut(
a_tex_0=53.9,
a_tex_90=58., # 53.9 * 8.4mm / 7.7mm
E_tex_0=
180862., # stiffness value taken from yarn tests 1600tex, l=300mmm;# yarn tests with l=125mm: E=165GPa
E_tex_90=
180862., # stiffness value taken from yarn tests 1600tex, l=300mmm;
s_tex_0=8.3,
s_tex_90=7.7, # input for manufacturing machine was 8.4 mm!
),
# carbon textile / tricot binding ("Trikot") with defect
# due to the manifacturing process (rovings are separated by the binding thread)
# 1 x 800 tex in 0-direction (1v1l): 8.3 mm
# 1 x 800 tex in 90-direction (1v1l): effective spacing of 7.7 mm!
#
'2D-04-11_defect':
FabricLayOut(
a_tex_0=53.9,
a_tex_90=58., # 53.9 * 8.4mm / 7.7mm
E_tex_0=
180862., # stiffness value taken from yarn tests 1600tex, l=300mmm;# yarn tests with l=125mm: E=165GPa
E_tex_90=
180862., # stiffness value taken from yarn tests 1600tex, l=300mmm;
s_tex_0=8.3,
s_tex_90=7.7, # input for manufacturing machine was 8.4 mm!
),
# demonstrator textile (carbon)
# carbon textile / tissue binding ("Tuch")
# 1 x 800 tex in 0-direction (1v1l): 8.3 mm
# 1 x 800 tex in 90-direction (1v1l): effective spacing of 7.7 mm!
#
'2D-05-11':
FabricLayOut(
a_tex_0=53.9,
# a_tex_0 = 55.4,
a_tex_90=58., # 53.9 * 8.4mm / 7.7mm
# a_tex_90=60., # 55.0 * 8.4mm / 7.7mm
E_tex_0=
180862., # stiffness value taken from yarn tests 1600tex, l=300mmm;# yarn tests with l=125mm: E=165GPa
E_tex_90=
180862., # stiffness value taken from yarn tests 1600tex, l=300mmm;
s_tex_0=8.3,
s_tex_90=7.7, # input for manufacturing machine was 8.4 mm!
),
# AR-glass tissue binding (barrel shell)
# tissue binding ("Tuch")
# 1 x 1200 tex in 0-direction (1v1l): 8.3 mm
# 1 x 1200 tex in 90-direction (1v1l): effective spacing of 7.7 mm!
#
'2D-09-12':
FabricLayOut(
a_tex_0=54.0,
# a_tex_0=55.4,
a_tex_90=58.2, # 0.448mm2 / 7.7mm
# a_tex_90=60., # 55.0 * 8.4mm / 7.7mm
# E_tex_0=72000.,
# E_tex_90=72000.,
E_tex_0=66831., # (l=500mm;2400tex;200mm/min)
E_tex_90=66831., # (l=500mm;2400tex;200mm/min)
s_tex_0=8.3,
s_tex_90=7.7, # input for manufacturing machine was 8.4 mm!
),
# carbon textile (heavy tow 3300 tex): Trikot binding
# in SFB-yarn tensile test: sig_max = 1020 MPa, eps_max = 10,3E-3
#
'2D-18-10':
FabricLayOut(
a_tex_0=76.96,
a_tex_90=123,
E_tex_0=
180862., # stiffness value taken from yarn tests 1600tex, l=300mmm; # yarn tests with l=125mm: E=107500 MPa
E_tex_90=180862.,
s_tex_0=24.0,
s_tex_90=15.0,
),
# carbon with epoxid rasin:
# 3300 tex
#
'C-Grid-C50':
FabricLayOut(
a_tex_0=40.0,
a_tex_90=44.9,
E_tex_0=234500.,
E_tex_90=234500.,
s_tex_0=46.0,
s_tex_90=41.0,
),
# EP coated carbon textile
# 2 x 24 K in 0-direction
# 2 x 24 K in 90-direction
#
'C-Grid-C50-25':
FabricLayOut(
a_tex_0=74.,
a_tex_90=74.,
E_tex_0=234500.,
E_tex_90=234500.,
s_tex_0=2.5,
s_tex_90=2.5,
),
# SBR coated carbon textile
# 1 x 50K in 0-direction
# 1 x 50K in 90-direction
#
'Grid-600':
FabricLayOut(
a_tex_0=170.,
a_tex_90=102.,
E_tex_0=180000., # stiffness value taken from yarn tests #165000.,
E_tex_90=180000.,
s_tex_0=10.8,
s_tex_90=18.,
),
# SBR coated carbon textile
# 2 x 24K in 0-direction
# 2 x 24K in 90-direction
#
'FRA-CAR/SB':
FabricLayOut(
a_tex_0=55.,
a_tex_90=46.,
E_tex_0=1.,
E_tex_90=1.,
s_tex_0=2.3,
s_tex_90=2.1,
),
# EP coated AR-glas textile
#
'FRA-AR/EP':
FabricLayOut(
a_tex_0=107.,
a_tex_90=134.,
E_tex_0=1.,
E_tex_90=1.,
s_tex_0=2.0,
s_tex_90=
1.6, # average spacing for alternating arrangement of rovings (3/1/1)
),
# SBR coated carbon textile
# 1 x 12K (800tex) in 0-direction
# ? x ? K in 90-direction
#
'CAR-800-SBR_TUD':
FabricLayOut(
a_tex_0=62.8,
a_tex_90=1.,
E_tex_0=245000., # SBR coating 800 tex
E_tex_90=245000.,
s_tex_0=7.1,
s_tex_90=1.,
),
# SBR coated carbon textile
# 12K (800tex) rovings with SBR-coating
# A_rov = 0.45m^2
#
'NWM3-016-09-b1':
FabricLayOut(
a_tex_0=62.5, # = 0.45 m^2 / 0.0072 m
a_tex_90=31.3, # = 0.45 m^2 / 0.0144 m
E_tex_0=245000., # SBR coating 800 tex
E_tex_90=245000.,
s_tex_0=7.2,
s_tex_90=14.4,
),
# SBR coated carbon textile
# 50K (3300tex) rovings with SBR-coating 0-direction
# 12L (800tex) rovings with SBR-coating in 90-direction
# A_rov = 1.84m^2
#
'CAR-3300-SBR_BTZ2':
FabricLayOut(
a_tex_0=144.9, # = 1.84 m^2 / 0.0127 m
a_tex_90=25.0, # = 0.45 m^2 / 0.018 m
E_tex_0=170000., # yarn test with SBR coating (3300tex)
E_tex_90=152000., # yarn test with SBR coating (800tex)
s_tex_0=12.7,
s_tex_90=18.0,
),
# epoxy resin coated carbon textile
# 50K (3300tex) rovings with EP-coating 0-direction and 90-direction
# A_rov = 1.84m^2
#
'CAR-3300-EP_Q90':
FabricLayOut(
a_tex_0=90., # = 1.84 m^2 / 0.02 m
a_tex_90=90,
E_tex_0=245000., # yarn test with EP impregnation (3300tex)
E_tex_90=245000.,
s_tex_0=21.,
s_tex_90=21.,
),
#
'Q85/85-CCE-21':
FabricLayOut(
a_tex_0=85., # = 1.81 m^2 / 0.021 m
a_tex_90=85,
E_tex_0=246100., # Modulus from single yarn test data base
E_tex_90=246100.,
s_tex_0=21.,
s_tex_90=21.,
),
#
'Q95/95-CCE-38':
FabricLayOut(
a_tex_0=95., # = 3.62 m^2 / 0.038 m
a_tex_90=95,
E_tex_0=226474., # Modulus from single yarn test data base
E_tex_90=236362.,
s_tex_0=38.,
s_tex_90=38.,
),
#
'Q142/142-CCE-25':
FabricLayOut(
a_tex_0=142, # = 3.62 m^2 / 0.025 m
a_tex_90=142,
E_tex_0=246100., # Modulus from single yarn test data base
E_tex_90=246100.,
s_tex_0=25.,
s_tex_90=25.,
),
#
'Q142/142-CCE-38':
FabricLayOut(
a_tex_0=142, # = 5.42 m^2 / 0.038 m
a_tex_90=142,
E_tex_0=246100., # Modulus from single yarn test data base
E_tex_90=246100.,
s_tex_0=38.,
s_tex_90=38.,
),
#
'Q145/145-AAE-25':
FabricLayOut(
a_tex_0=145, # = 3.69 m^2 / 0.025 m
a_tex_90=145,
E_tex_0=65000., # ToDo: Verify Modulus by comparison to roving tests
E_tex_90=
65000., # ToDo: Verify Modulus by comparison to roving tests
s_tex_0=25.,
s_tex_90=25.,
),
#
'Q121/121-AAE-38':
FabricLayOut(
a_tex_0=121, # = 4.62 m^2 / 0.038 m
a_tex_90=121,
E_tex_0=65000., # ToDo: Verify Modulus by comparison to roving tests
E_tex_90=
65000., # ToDo: Verify Modulus by comparison to roving tests
s_tex_0=38.,
s_tex_90=38.,
),
#
'Q97/97-AAE-38':
FabricLayOut(
a_tex_0=97, # = 3.69 m^2 / 0.038 m
a_tex_90=97,
E_tex_0=65000., # ToDo: Verify Modulus by comparison to roving tests
E_tex_90=
65000., # ToDo: Verify Modulus by comparison to roving tests
s_tex_0=38.,
s_tex_90=38.,
),
#
'Q87/87-AAE-21':
FabricLayOut(
a_tex_0=87, # = 1.85 m^2 / 0.025 m
a_tex_90=87,
E_tex_0=65000., # ToDo: Verify Modulus by comparison to roving tests
E_tex_90=
65000., # ToDo: Verify Modulus by comparison to roving tests
s_tex_0=21.,
s_tex_90=21.,
),
#
'Q87/87-AAS-21':
FabricLayOut(
a_tex_0=87, # = 1.85 m^2 / 0.025 m
a_tex_90=87,
E_tex_0=65000., # ToDo: Verify Modulus by comparison to roving tests
E_tex_90=
65000., # ToDo: Verify Modulus by comparison to roving tests
s_tex_0=21.,
s_tex_90=21.,
),
#
'Q142/142-CCS-25':
FabricLayOut(
a_tex_0=142, # = 3.62 m^2 / 0.025 m
a_tex_90=142,
E_tex_0=65000., # ToDo: Verify Modulus by comparison to roving tests
E_tex_90=
65000., # ToDo: Verify Modulus by comparison to roving tests
s_tex_0=25.,
s_tex_90=25.,
),
#
'R106/29-CGS-17x31':
FabricLayOut(
a_tex_0=106, # = 1.81 m^2 / 0.017 m
a_tex_90=29,
E_tex_0=
245000., # ToDo: Verify Modulus by comparison to roving tests
E_tex_90=
65000., # ToDo: Verify Modulus by comparison to roving tests
s_tex_0=17.,
s_tex_90=31.,
),
#
'CAR-6600-SBR_E0003':
FabricLayOut(
a_tex_0=141., # = 3.67 m^2 / 0.026 m
a_tex_90=141,
E_tex_0=
245000., # ToDo: Verify Modulus by comparison to roving tests
E_tex_90=
245000., # ToDo: Verify Modulus by comparison to roving tests
s_tex_0=26.,
s_tex_90=26.,
),
# styrol-butadiene impregnated Textile, Manufacturer: V.Fraas
# 100K (6600tex) rovings in 0-direction and 90-direction
# A_rov = 3.67mm^2
#
})
MKPullOutParamDistribs.db = SimDBClassExt(
klass=MKPullOutParamDistribs,
constants={
'1':
MKPullOutParamDistribs(phi=MKYarnPDistrib(n_int=50,
p_c=0.,
p_s=1.,
k_c=2.109,
k_s=1.308),
theta=MKYarnPDistrib(n_int=3,
p_c=0.04321,
p_s=0.0,
k_c=3.336,
k_s=0.1),
ell=MKYarnPDistrib(n_int=3,
p_c=9.093,
p_s=0.0,
k_c=2.109,
k_s=1.308)),
'2':
MKPullOutParamDistribs(phi=MKYarnPDistrib(n_int=50,
p_c=0.,
p_s=1.,
k_c=2.233,
k_s=1.612),
theta=MKYarnPDistrib(n_int=3,
p_c=0.04420,
p_s=0.0,
k_c=4.808,
k_s=0.1),
ell=MKYarnPDistrib(n_int=3,
p_c=10.579,
p_s=0.0,
k_c=2.109,
k_s=1.612)),
'3':
MKPullOutParamDistribs(phi=MKYarnPDistrib(n_int=50,
p_c=0.,
p_s=1.,
k_c=2.668,
k_s=1.492),
theta=MKYarnPDistrib(n_int=3,
p_c=0.00023,
p_s=0.0,
k_c=2.708,
k_s=0.1),
ell=MKYarnPDistrib(n_int=3,
p_c=8.664,
p_s=0.0,
k_c=2.668,
k_s=1.492)),
'4':
MKPullOutParamDistribs(phi=MKYarnPDistrib(n_int=50,
p_c=0.,
p_s=1.,
k_c=1.929,
k_s=1.756),
theta=MKYarnPDistrib(n_int=3,
p_c=0.00714,
p_s=0.0,
k_c=3.319,
k_s=0.1),
ell=MKYarnPDistrib(n_int=3,
p_c=9.803,
p_s=0.0,
k_c=1.929,
k_s=1.756)),
'5':
MKPullOutParamDistribs(phi=MKYarnPDistrib(n_int=50,
p_c=0.,
p_s=1.,
k_c=1.834,
k_s=0.369),
theta=MKYarnPDistrib(n_int=3,
p_c=0.00036,
p_s=0.0,
k_c=2.820,
k_s=0.1),
ell=MKYarnPDistrib(n_int=3,
p_c=5.546,
p_s=0.0,
k_c=1.834,
k_s=0.369)),
})