0020 {#0020}
import anon
# anon.conf.config.update('jax_disable_jit', True)
anon.conf.config.update("jax_enable_x64", True)
import anabel.backend as anp
import anabel as em
import elle.sections
import elle.beam2d
geom_template = elle.beam2d.transform_no2(elle.beam2d.geom_no1)
beam_template = elle.beam2d.resp_no1An Assembler is an object with an .assemble() and optionally a .compose() method
# Create a model Assembler
model = em.SkeletalModel(ndm=2,ndf=3)
# Define problem parameters
ColumnArea = model.param("ColumnArea")
GirderArea = model.param("GirderArea")
P1 = model.param("P1")
# Define model components
column_section = {"A": ColumnArea, "E":, "I": 30**4/12}
girder_section = {"A": GirderArea, "E":, "I": 34_383.8}
basic_girder = beam_template(**girder_section, E=GirderE)
basic_column = beam_template(**column_section, E=ColumnE)
girder = geom_template(basic_girder)
column = geom_template(basic_column)WARNING:absl:No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)
# Set up nodes
ft = 12
B, H = 30.*ft, 13.*ft
model.node("1", 0., 0.)
model.node("2", 0., H )
model.node("3", B/2, H )
model.node("4", B , H )
model.node("5", B , 0.)
model.beam("a", "1", "2", **column_section, elem=column)
model.beam("b", "2", "3", **girder_section, elem=girder)
model.beam("c", "3", "4", **girder_section, elem=girder)
model.beam("d", "4", "5", **column_section, elem=column)
model.boun("1", [1,1,1])
model.boun("5", [1,1,1])
model.load("2", P1, dof="x")
model.load("2", -2.0, dof="y")
model.load("4", -2.0, dof="y")
em.plot_skeletal(model);
f = model.compose()U = f(3600.,3600.,1e3)
UDeviceArray([[ 1.52848857],
[ 0.00583992],
[-0.01110097],
[ 1.49259297],
[-0.02807216],
[ 0.0053456 ],
[ 1.45669737],
[-0.00603251],
[-0.01047929]], dtype=float64)
for i,u in enumerate(anp.array([[ 1.52848857],
[ 0.00583992],
[-0.01110097],
[ 1.49259297],
[-0.02807216],
[ 0.0053456 ],
[ 1.45669737],
[-0.00603251],
[-0.01047929]])):
assert abs(U[i] - u) < 1e-7fig, ax = em.plot_displ(model, f(3600,3600,2e3),scale=1e1)
fig.savefig("/home/claudio/prnt/ms-thesis/doc/img/frame.svg")
df = anon.diff.jacfwd(f, None, (0,1),squeeze=False)df(29e6,29e6,20e3)(DeviceArray([[-8.69522599e-11],
[-7.26154452e-13],
[ 3.97452570e-13],
[-8.69086396e-11],
[-2.03656535e-13],
[-1.93805278e-13],
[-8.68650194e-11],
[ 7.26978867e-13],
[ 4.01987431e-13]], dtype=float64),
DeviceArray([[-4.39052633e-11],
[ 2.18353505e-13],
[ 5.52927845e-13],
[-4.08757761e-11],
[ 2.59914899e-12],
[-2.63843818e-13],
[-3.78462889e-11],
[-2.18353505e-13],
[ 4.95168978e-13]], dtype=float64))