How do I use Mapping Workflows with PyDPF?

Ayush Kumar

How do I use Mapping Workflows with PyDPF?

Ayush Kumar

from ansys.dpf import core as dpf
from ansys.dpf.core.plotter import DpfPlotter

dpf.start_local_server(ansys_path=r"C:\Program Files\ANSYS Inc\v252")

s_rst = r"D:\…\file.rst"
s_model = dpf.Model(s_rst) 
s_mesh = s_model.metadata.meshed_region

s = s_model.results.stress()
s.inputs.requested_location.connect("Nodal")
vm_s = dpf.operators.invariant.von_mises_eqv_fc(fields_container=s).eval()

pl = DpfPlotter()
pl.add_field(vm_s[0], s_mesh)
# Plot the result.
cpos = pl.show_figure(show_axes=True)

t_rst = r"D:\…file.rst"
t_model = dpf.Model(t_rst)

t_mesh = t_model.metadata.meshed_region

rbf_map = dpf.Operator("mechanical_native_mapping::prepare::shape_function_volumes")
rbf_map.connect(0, s_mesh)
rbf_map.connect(1, t_mesh)
rbf_map.connect(4, vm_s[0].unit)
rbf_map.connect(5, "Nodal")
rbf_map.connect(6, 1)
rbf_map.connect(8, r"D:\test_map.html")

map_wf = dpf.Operator("mechanical_native_mapping::apply")
for i in range(0, 5):
    map_wf.connect(i, rbf_map, i)
map_wf.connect(5, vm_s)

mapped_data = map_wf.outputs.mapped_data()
print(mapped_data)

pl = DpfPlotter()
pl.add_field(mapped_data[0], t_mesh)
# Plot the result.
cpos = pl.show_figure(show_axes=True)