def cart3d_to_stl(cart3d, stl_filename=None, is_binary=False, log=None, debug=False):
"""
Converts a Cart3D object to STL format.
Parameters
----------
cart3d : Cart3D()
a Cart3D object
stl_filename : str; default=None
path to the output STL file (or None to skip)
log : log
a logger object (or None)
debug : bool; default=False
True/False (used if log is not defined)
Returns
-------
stl : STL()
an STL object
"""
#normals = cart3d.get_normals()
stl = STL(log=log, debug=debug)
stl.nodes = cart3d.nodes - 1
stl.elements = cart3d.elements - 1
if stl_filename:
stl.write_stl(stl_filename, is_binary=is_binary)
return stl
def stl_to_plot3d_filename(stl_filename, p3d_filename, log=None, ascii=True):
model = STL(log=log)
model.read_stl(stl_filename)
#nodal_normals = model.get_normals_at_nodes(model.elements)
with open(p3d_filename, 'wb') as p3d:
nblocks = len(model.elements)
#nblocks = 10
p3d.write('%i\n' % nblocks)
for iblock in range(nblocks):
p3d.write('2 2 1\n')
nodes = model.nodes
elements = model.elements
if 0:
for i in [0, 1, 2]:
for iblock in range(nblocks):
(n1, n2, n3) = elements[iblock]
p1 = nodes[n1, :]
p2 = nodes[n2, :]
p3 = nodes[n3, :]
p4 = p3
xi = [[p1[i], p2[i], p3[i], p4[i]]]
savetxt(p3d, xi, fmt='%f')
else:
for iblock in range(nblocks):
for i in [0, 1, 2]:
(n1, n2, n3) = elements[iblock]
p1 = nodes[n1, :]
p2 = nodes[n2, :]
p3 = nodes[n3, :]
p4 = p3
xi = [[p1[i], p2[i], p3[i], p4[i]]]
savetxt(p3d, xi, fmt='%f')
def test_stl_io_01(self):
lines = (
'solid testsphere\n'
' facet normal -0.13 -0.13 -0.98\n'
' outer loop\n'
' vertex 1.50000 1.50000 0.00000\n'
' vertex 1.50000 1.11177 0.05111\n'
' vertex 1.11177 1.50000 0.05111\n'
' endloop\n'
' endfacet\n'
' facet normal 0.13 0.13 -0.98\n'
' outer loop\n'
' vertex 1.50000 1.50000 0.00000\n'
' vertex 1.50000 1.88823 0.05111\n'
' vertex 1.88823 1.50000 0.05111\n'
' endloop\n'
' endfacet\n'
'endsolid\n'
)
stl_filename = os.path.join(test_path, 'tris.stl')
with open(stl_filename, 'w') as f:
f.write(lines)
stl = STL(log=None, debug=False)
stl.read_stl(stl_filename)
assert len(stl.nodes) == 6, 'nodes=%s' % len(stl.nodes)
assert len(stl.elements) == 2, 'nelements=%s' % len(stl.elements)
os.remove(stl_filename)
def nastran_to_stl(bdf_filename, stl_filename, is_binary=False, log=None):
"""
Converts a Nastran model to an STL
Parameters
----------
bdf_filename : varies
str : the path to a BDF input file
BDF() : a BDF() model object
stl_filename : str
the output STL path
is_binary : bool; default=False
should the output file be binary
"""
if isinstance(bdf_filename, str):
model = read_bdf(bdf_filename, log=None)
else:
model = bdf_filename
#log.info('card_count = %s' % model.card_count)
nnodes = len(model.nodes)
nodes = zeros((nnodes, 3), dtype='float64')
elements = []
i = 0
nodeid_to_i_map = {}
for node_id, node in sorted(iteritems(model.nodes)):
xyz = node.get_position()
nodes[i, :] = xyz
nodeid_to_i_map[node_id] = i
i += 1
assert len(model.nodes) == i, 'model.nodes=%s i=%s' % (len(model.nodes), i)
for eid, element in sorted(iteritems(model.elements)):
if element.type in ['CQUADR']:
continue
elif element.type in ['CBAR', 'CBEAM', 'CONM2', 'RBE2', 'RBE3',
'CBUSH', 'CBUSH1D', 'CBUSH2D',
'CONROD', 'CROD',
'CELAS1', 'CELAS2', 'CELAS3', 'CELAS4',
'CDAMP1', 'CDAMP2', 'CDAMP3', 'CDAMP4',]:
continue
elif element.type in ['CQUAD4']:
n1, n2, n3, n4 = element.node_ids
i1, i2, i3, i4 = nodeid_to_i_map[n1], nodeid_to_i_map[n2], nodeid_to_i_map[n3], nodeid_to_i_map[n4]
elements.append([i1, i2, i3])
elements.append([i3, i4, i1])
elif element.type in ['CTRIA3', 'CTRIAR']:
n1, n2, n3 = element.node_ids
i1, i2, i3 = nodeid_to_i_map[n1], nodeid_to_i_map[n2], nodeid_to_i_map[n3]
elements.append([i1, i2, i3])
else:
print(element.type)
elements = array(elements, dtype='int32')
stl = STL()
stl.nodes = nodes
stl.elements = elements
stl.write_stl(stl_filename, is_binary=is_binary)
return stl
def stl_to_plot3d_filename(stl_filename, p3d_filename, log=None, ascii=True):
model = STL(log=log)
model.read_stl(stl_filename)
# nodal_normals = model.get_normals_at_nodes(model.elements)
with open(p3d_filename, "wb") as p3d:
nblocks = len(model.elements)
# nblocks = 10
p3d.write("%i\n" % nblocks)
for iblock in range(nblocks):
p3d.write("2 2 1\n")
nodes = model.nodes
elements = model.elements
if 0:
for i in [0, 1, 2]:
for iblock in range(nblocks):
(n1, n2, n3) = elements[iblock]
p1 = nodes[n1, :]
p2 = nodes[n2, :]
p3 = nodes[n3, :]
p4 = p3
xi = [[p1[i], p2[i], p3[i], p4[i]]]
savetxt(p3d, xi, fmt="%f")
else:
for iblock in range(nblocks):
for i in [0, 1, 2]:
(n1, n2, n3) = elements[iblock]
p1 = nodes[n1, :]
p2 = nodes[n2, :]
p3 = nodes[n3, :]
p4 = p3
xi = [[p1[i], p2[i], p3[i], p4[i]]]
savetxt(p3d, xi, fmt="%f")
def stl_to_nastran_filename(stl_filename, bdf_filename,
nnodes_offset=0, nelements_offset=0,
pid=100, mid=200,
size=8, is_double=False,
log=None):
model = STL(log=log)
model.read_stl(stl_filename)
nid = nnodes_offset + 1
cid = None
load_id = 10
nodal_normals = model.get_normals_at_nodes(model.elements)
bdf = open(bdf_filename, 'wb')
bdf.write('CEND\n')
#bdf.write('LOAD = %s\n' % load_id)
bdf.write('BEGIN BULK\n')
nid2 = 1
magnitude = 100.
if size == 8:
print_card = print_card_8
elif size == 16:
if is_double:
print_card = print_card_16
else:
print_card = print_card_double
for x, y, z in model.nodes:
card = ['GRID', nid, cid, x, y, z]
bdf.write(print_card_16(card))
#nx, ny, nz = nodal_normals[nid2 - 1]
#card = ['FORCE', load_id, nid, cid, magnitude, nx, ny, nz]
#bdf.write(print_card_8(card))
nid += 1
nid2 += 1
eid = nelements_offset + 1
for (n1, n2, n3) in (model.elements + (nnodes_offset + 1)):
card = ['CTRIA3', eid, pid, n1, n2, n3]
bdf.write(print_card_8(card))
eid += 1
t = 0.1
card = ['PSHELL', pid, mid, t]
bdf.write(print_card_8(card))
E = 1e7
G = None
nu = 0.3
card = ['MAT1', mid, E, G, nu]
bdf.write(print_card_8(card))
bdf.write('ENDDATA\n')
bdf.close()
def stl_to_plot3d_filename(stl_filename, p3d_filename, log=None, ascii=True):
model = STL(log=log)
model.read_stl(stl_filename)
#nodal_normals = model.get_normals_at_nodes(model.elements)
p3d = open(p3d_filename, 'wb')
nblocks = len(model.elements)
#nblocks = 10
p3d.write('%i\n' % nblocks)
for iblock in range(nblocks):
p3d.write('2 2 1\n')
nodes = model.nodes
elements = model.elements
if 0:
for i in [0, 1, 2]:
for iblock in range(nblocks):
(n1, n2, n3) = elements[iblock]
p1 = nodes[n1, :]
p2 = nodes[n2, :]
p3 = nodes[n3, :]
p4 = p3
xi = [[p1[i], p2[i], p3[i], p4[i]]]
savetxt(p3d, xi, fmt='%f')
else:
for iblock in range(nblocks):
for i in [0, 1, 2]:
(n1, n2, n3) = elements[iblock]
p1 = nodes[n1, :]
p2 = nodes[n2, :]
p3 = nodes[n3, :]
p4 = p3
xi = [[p1[i], p2[i], p3[i], p4[i]]]
savetxt(p3d, xi, fmt='%f')
#p3d.write("----\n")
#x = [[p1[0], p2[0], p3[0], p4[0]]]
#y = [[p1[1], p2[1], p3[1], p4[1]]]
#z = [[p1[2], p2[2], p3[2], p4[2]]]
#savetxt(p3d, x, fmt='%f')
#savetxt(p3d, y, fmt='%f')
#savetxt(p3d, z, fmt='%f')
#p3d.write('\n')
#p3d.write(' '.join(x) + '\n')
#p3d.write(' '.join(y) + '\n')
#p3d.write(' '.join(z) + '\n')
#xxxz
#yyyz
#zzzz
p3d.close()
def main(): # pragma: no cover
bdf_filename = 'bay.bdf'
bc_file = 'bc'
bdf_filename2 = 'bay2.bdf'
cart3d_filename = 'bay.i.tri'
stl_filename = 'bay.stl'
#in_format = 'nastran'
flip_normals = True
volume_bdfname = 'bay.vol.bdf'
module = __import__(bc_file)
pid_map = module.__dict__['pid_map']
boundary_conditions = module.__dict__['boundary_conditions']
#print(dir(module))
#e = execfile(bc_file, globals(), locals())
#print(globals())
#print(dir(e))
pid_map
boundary_conditions
assert isinstance(pid_map, dict)
assert isinstance(boundary_conditions, dict)
get_bcs(bdf_filename, pid_map, boundary_conditions, log=None)
#if flip_normals:
#bdf = BDF(debug=False)
#bdf.read_bdf(bdf_filename, xref=False)
#bdf.flip_normals()
#bdf.write_bdf(bdf_filename2)
#del bdf
#else:
#bdf_filename2 = bdf_filename
if 0:
nastran_to_cart3d_filename(bdf_filename, cart3d_filename, log=log)
cart3d_to_stl_filename(cart3d_filename, stl_filename, log=log)
else:
nastran_to_stl_filename(bdf_filename, stl_filename, log=log)
stl_to_nastran_filename(stl_filename, bdf_filename2, log=log)
print('----------')
#nastran_to_cart3d(bdf_filename2, cart3d_filename)
#cart3d = Cart3d()
#cart3d.read_cart3d(cart3d_filename)
stl = STL()
stl.read_stl(stl_filename)
if flip_normals:
stl.flip_normals()
stl.project_boundary_layer(stl.nodes, stl.elements, volume_bdfname)
def nastran_to_stl(model, stl_filename, is_binary=False):
#log.info('card_count = %s' % model.card_count)
nnodes = len(model.nodes)
nodes = zeros((nnodes, 3), dtype='float64')
elements = []
i = 0
nodeid_to_i_map = {}
for node_id, node in sorted(iteritems(model.nodes)):
xyz = node.get_position()
nodes[i, :] = xyz
nodeid_to_i_map[node_id] = i
i += 1
assert len(model.nodes) == i, 'model.nodes=%s i=%s' % (len(model.nodes), i)
for eid, element in sorted(iteritems(model.elements)):
if element.type in ['CQUADR']:
continue
elif element.type in ['CBAR', 'CBEAM', 'CONM2', 'RBE2', 'RBE3',
'CBUSH', 'CBUSH1D', 'CBUSH2D',
'CONROD', 'CROD',
'CELAS1', 'CELAS2', 'CELAS3', 'CELAS4',
'CDAMP1', 'CDAMP2', 'CDAMP3', 'CDAMP4',]:
continue
elif element.type in ['CQUAD4']:
n1, n2, n3, n4 = element.node_ids
i1, i2, i3, i4 = nodeid_to_i_map[n1], nodeid_to_i_map[n2], nodeid_to_i_map[n3], nodeid_to_i_map[n4]
elements.append([i1, i2, i3])
elements.append([i3, i4, i1])
elif element.type in ['CTRIA3', 'CTRIAR']:
n1, n2, n3 = element.node_ids
i1, i2, i3 = nodeid_to_i_map[n1], nodeid_to_i_map[n2], nodeid_to_i_map[n3]
elements.append([i1, i2, i3])
else:
print(element.type)
elements = array(elements, dtype='int32')
stl = STL()
stl.nodes = nodes
stl.elements = elements
stl.write_stl(stl_filename, is_binary=is_binary)
return stl
def cart3d_to_stl(cart3d,
stl_filename=None,
is_binary=False,
log=None,
debug=False):
"""
Converts a Cart3D object to STL format.
Parameters
----------
cart3d : Cart3D()
a Cart3D object
stl_filename : str; default=None
path to the output STL file (or None to skip)
log : log
a logger object (or None)
debug : bool; default=False
True/False (used if log is not defined)
Returns
-------
stl : STL()
an STL object
.. todo:: this seems to be broken...
"""
#normals = cart3d.get_normals()
stl = STL(log=log, debug=debug)
stl.nodes = cart3d.nodes #- 1
stl.elements = cart3d.elements #- 1
assert stl.elements.min() == 0, stl.elements.min()
if stl_filename:
stl.write_stl(stl_filename, is_binary=is_binary)
return stl
def main():
bdf_filename = 'bay.bdf'
bc_file = 'bc'
bdf_filename2 = 'bay2.bdf'
cart3d_filename = 'bay.i.tri'
stl_filename = 'bay.stl'
#in_format = 'nastran'
flip_normals = True
volume_bdfname = 'bay.vol.bdf'
module = __import__(bc_file)
pid_map = module.__dict__['pid_map']
boundary_conditions = module.__dict__['boundary_conditions']
#print(dir(module))
#e = execfile(bc_file, globals(), locals())
#print(globals())
#print(dir(e))
pid_map
boundary_conditions
assert isinstance(pid_map, dict)
assert isinstance(boundary_conditions, dict)
get_bcs(bdf_filename, pid_map, boundary_conditions, log=None)
#if flip_normals:
#bdf = BDF()
#bdf.read_bdf(bdf_filename, xref=False)
#bdf.flip_normals()
#bdf.write_bdf(bdf_filename2)
#del bdf
#else:
#bdf_filename2 = bdf_filename
if 0:
nastran_to_cart3d_filename(bdf_filename, cart3d_filename, log=log)
cart3d_to_stl_filename(cart3d_filename, stl_filename, log=log)
else:
nastran_to_stl_filename(bdf_filename, stl_filename, log=log)
stl_to_nastran_filename(stl_filename, bdf_filename2, log=log)
print("----------")
#nastran_to_cart3d(bdf_filename2, cart3d_filename)
#cart3d = Cart3d()
#cart3d.read_cart3d(cart3d_filename)
stl = STL()
stl.read_stl(stl_filename)
if flip_normals:
stl.flip_normals()
stl.project_boundary_layer(stl.nodes, stl.elements, volume_bdfname)
def main(): # pragma: no cover
import os
#base = 'gear'
#read_tetgen(base, dimension_flag=2)
#return
from pyNastran.converters.stl.stl import STL
m1 = STL()
m1.read_stl('tetgen_test.stl')
m1.flip_normals()
m1.write_stl('tetgen_test_flipped.stl')
del m1
os.system('tetgen.exe -pqcvVqY tetgen_test_flipped.stl')
m = Tetgen()
base = 'tetgen_test_flipped.1'
m.read_tetgen(base + '.node', base + '.smesh', base + '.ele', dimension_flag=3)
m.write_nastran(base + '.bdf')
def nastran_to_stl(bdf_filename, stl_filename, is_binary=False, log=None):
"""
Converts a Nastran model to an STL
Parameters
----------
bdf_filename : varies
str : the path to a BDF input file
BDF() : a BDF() model object
stl_filename : str
the output STL path
is_binary : bool; default=False
should the output file be binary
log : Logger()
a Python logging object
"""
if isinstance(bdf_filename, str):
model = read_bdf(bdf_filename, log=log)
else:
model = bdf_filename
#log.info('card_count = %s' % model.card_count)
nnodes = len(model.nodes)
nodes = zeros((nnodes, 3), dtype='float64')
elements = []
i = 0
nodeid_to_i_map = {}
for node_id, node in sorted(iteritems(model.nodes)):
xyz = node.get_position()
nodes[i, :] = xyz
nodeid_to_i_map[node_id] = i
i += 1
assert len(model.nodes) == i, 'model.nodes=%s i=%s' % (len(model.nodes), i)
for eid, element in sorted(iteritems(model.elements)):
if element.type in ['CQUADR']:
continue
elif element.type in [
'CBAR',
'CBEAM',
'CONM2',
'RBE2',
'RBE3',
'CBUSH',
'CBUSH1D',
'CBUSH2D',
'CONROD',
'CROD',
'CELAS1',
'CELAS2',
'CELAS3',
'CELAS4',
'CDAMP1',
'CDAMP2',
'CDAMP3',
'CDAMP4',
]:
continue
elif element.type in ['CQUAD4']:
n1, n2, n3, n4 = element.node_ids
i1, i2, i3, i4 = nodeid_to_i_map[n1], nodeid_to_i_map[
n2], nodeid_to_i_map[n3], nodeid_to_i_map[n4]
elements.append([i1, i2, i3])
elements.append([i3, i4, i1])
elif element.type in ['CTRIA3', 'CTRIAR']:
n1, n2, n3 = element.node_ids
i1, i2, i3 = nodeid_to_i_map[n1], nodeid_to_i_map[
n2], nodeid_to_i_map[n3]
elements.append([i1, i2, i3])
else:
print(element.type)
elements = array(elements, dtype='int32')
stl = STL(log=model.log)
stl.nodes = nodes
stl.elements = elements
stl.write_stl(stl_filename, is_binary=is_binary)
return stl
def merge_stl_files(stl_filenames,
stl_out_filename=None,
remove_bad_elements=False,
is_binary=True,
float_fmt='%6.12f',
log=None):
"""
Combines multiple STLs into a single file
Parameters
----------
stl_filenames : List[str, str, ...]
list of stl filenames or a string filename
(useful for removing bad elements)
remove_bad_elements : bool; default=False
should elements with invalid normals be removed?
stl_out_filename : str; default=None -> no writing
string of stl output filename
is_binary : bool; default=True
should the output file be binary
float_fmt : str; default='%6.12f'
the ascii float format
Returns
-------
stl : STL()
the stl object
"""
if isinstance(stl_filenames, str):
stl_filenames = [stl_filenames]
assert isinstance(stl_filenames, (list, tuple)), type(stl_filenames)
assert len(stl_filenames) > 0, stl_filenames
log = get_logger2(log=log, debug=False, encoding='utf-8')
if len(stl_filenames) == 1:
model = STL(log=log)
model.read_stl(stl_filenames[0])
if remove_bad_elements:
model.remove_elements_with_bad_normals()
if stl_out_filename is not None:
model.write_stl(stl_out_filename, is_binary=is_binary)
return model
nodes = []
elements = []
n0 = 0
for i, fname in enumerate(stl_filenames):
log.debug(f'reading file {i}: {fname}')
model = STL(
log=log) # TODO: you shouldn't need to to reinstantiate the STL
model.read_stl(fname)
nnodes = model.nodes.shape[0]
nodes.append(model.nodes)
elements.append(model.elements + n0)
n0 += nnodes
model.nodes = vstack(nodes)
model.elements = vstack(elements)
if remove_bad_elements:
model.remove_elements_with_bad_normals()
if stl_out_filename is not None:
model.write_stl(stl_out_filename,
is_binary=is_binary,
float_fmt=float_fmt)
return model
def load_stl_geometry(self, stl_filename, dirname, name='main', plot=True):
#print("load_stl_geometry...")
skip_reading = self._remove_old_geometry(stl_filename)
if skip_reading:
return
model = STL(log=self.log, debug=False)
#self.model_type = model.model_type
model.read_stl(stl_filename)
nodes = model.nodes
elements = model.elements
normals = model.get_normals(elements, stop_on_failure=False)
areas = model.get_area(elements, stop_on_failure=False)
#nnormals = model.get_normals_at_nodes(elements)
self.nNodes = nodes.shape[0]
self.nElements = elements.shape[0]
self.log.info('nnodes=%s nelements=%s' % (self.nNodes, self.nElements))
self.grid.Allocate(self.nElements, 1000)
#self.gridResult.SetNumberOfComponents(self.nElements)
points = vtk.vtkPoints()
points.SetNumberOfPoints(self.nNodes)
#self.gridResult.Allocate(self.nNodes, 1000)
#vectorReselt.SetNumberOfComponents(3)
self.nid_map = {}
#elem.SetNumberOfPoints(nNodes)
if 0:
fraction = 1. / self.nNodes # so you can color the nodes by ID
for nid, node in sorted(iteritems(nodes)):
points.InsertPoint(nid - 1, *node)
self.gridResult.InsertNextValue(nid * fraction)
#print str(element)
#elem = vtk.vtkVertex()
#elem.GetPointIds().SetId(0, i)
#self.aQuadGrid.InsertNextCell(elem.GetCellType(), elem.GetPointIds())
#vectorResult.InsertTuple3(0, 0.0, 0.0, 1.0)
assert nodes is not None
nnodes = nodes.shape[0]
xmax, ymax, zmax = nodes.max(axis=0)
xmin, ymin, zmin = nodes.min(axis=0)
self.log.info('xmax=%s xmin=%s' % (xmax, xmin))
self.log.info('ymax=%s ymin=%s' % (ymax, ymin))
self.log.info('zmax=%s zmin=%s' % (zmax, zmin))
dim_max = max(xmax - xmin, ymax - ymin, zmax - zmin)
self.create_global_axes(dim_max)
nid = 0
#print("nnodes=%s" % nnodes)
for i in range(nnodes):
points.InsertPoint(nid, nodes[i, :])
nid += 1
nelements = elements.shape[0]
#elements -= 1
for eid in range(nelements):
elem = vtkTriangle()
node_ids = elements[eid, :]
elem.GetPointIds().SetId(0, node_ids[0])
elem.GetPointIds().SetId(1, node_ids[1])
elem.GetPointIds().SetId(2, node_ids[2])
self.grid.InsertNextCell(
5, elem.GetPointIds()) #elem.GetCellType() = 5 # vtkTriangle
self.grid.SetPoints(points)
self.grid.Modified()
if hasattr(self.grid, 'Update'):
self.grid.Update()
self.log_info("updated grid")
# loadSTLResults - regions/loads
self.turn_text_on()
self.scalarBar.VisibilityOff()
self.scalarBar.Modified()
cases = {}
self.iSubcaseNameMap = {}
ID = 1
form, cases = self._fill_stl_case(cases, ID, elements, nodes, normals,
areas)
self._finish_results_io2(form, cases)
def merge_stl_files(stl_filenames, stl_out_filename=None, remove_bad_elements=False,
is_binary=True, float_fmt='%6.12f'):
"""
Combines multiple STLs into a single file
Parameters
----------
stl_filenames : List[str, str, ...]
list of stl filenames or a string filename
(useful for removing bad elements)
remove_bad_elements : bool; default=False
should elements with invalid normals be removed?
stl_out_filename : str; default=None -> no writing
string of stl output filename
is_binary : bool; default=True
should the output file be binary
float_fmt : str; default='%6.12f'
the ascii float format
Returns
-------
stl : STL()
the stl object
"""
if isinstance(stl_filenames, str):
stl_filenames = [stl_filenames]
assert isinstance(stl_filenames, (list, tuple)), type(stl_filenames)
assert len(stl_filenames) > 0, stl_filenames
if len(stl_filenames) == 1:
model = STL()
model.read_stl(stl_filenames[0])
if remove_bad_elements:
model.remove_elements_with_bad_normals(model.elements, nodes=model.nodes)
if stl_out_filename is not None:
model.write_stl(stl_out_filename, is_binary=is_binary)
return model
nodes = []
elements = []
n0 = 0
for fname in stl_filenames:
model = STL() # TODO: you shouldn't need to to reinstantiate the STL
model.read_stl(fname)
nnodes = model.nodes.shape[0]
nodes.append(model.nodes)
elements.append(model.elements + n0)
n0 += nnodes
model.nodes = vstack(nodes)
model.elements = vstack(elements)
if remove_bad_elements:
model.remove_elements_with_bad_normals(model.elements, nodes=model.nodes)
if stl_out_filename is not None:
model.write_stl(stl_out_filename, is_binary=is_binary, float_fmt=float_fmt)
return model
def stl_reshape(data):
if '--xy' not in data:
data['--xy'] = False
if '--yz' not in data:
data['--yz'] = False
if '--xz' not in data:
data['--xz'] = False
if '--scale' not in data:
data['--scale'] = None
if '--xscale' not in data:
data['--xscale'] = None
if '--yscale' not in data:
data['--yscale'] = None
if '--zscale' not in data:
data['--zscale'] = None
if '<xshift>' not in data:
data['<xshift>'] = None
if '<yshift>' not in data:
data['<yshift>'] = None
if '<zshift>' not in data:
data['<zshift>'] = None
if '--stats' not in data:
data['--stats'] = None
if '--mirror' not in data:
data['--mirror'] = None
if '--flip_normals' not in data:
data['--flip_normals'] = None
in_stl_filename = data['<in_stl_filename>']
out_stl_filename = data['<out_stl_filename>']
assert in_stl_filename != out_stl_filename
stl = STL()
stl.read_stl(in_stl_filename)
if data['<fmt>'] in ['False', False]:
is_binary = True
fmt = None
else:
fmt = data['<fmt>']
is_binary = False
print('is_binary=%s' % is_binary)
if data['--xy'] or data['--yz'] or data['--xz']:
scale = 1.
if data['--scale'] is not None:
scale = float(data['--scale'])
if data['--xy']:
assert data['--yz'] is False
assert data['--xz'] is False
axes = 'xy'
elif data['--yz']:
assert data['--xy'] is False
assert data['--xz'] is False
axes = 'yz'
elif data['--xz']:
assert data['--xy'] is False
assert data['--yz'] is False
axes = 'xz'
#print('flip_axes = %r' % axes)
#print(data)
stl.flip_axes(axes, scale)
elif data['--xscale'] or data['--yscale'] or data['--zscale']:
xscale = 1.
yscale = 1.
zscale = 1.
if data['--xscale'] is not None:
xscale = float(data['--xscale'].strip("'"))
if data['--yscale'] is not None:
yscale = float(data['--yscale'].strip("'"))
if data['--zscale'] is not None:
zscale = float(data['--zscale'].strip("'"))
x = deepcopy(stl.nodes[:, 0])
y = deepcopy(stl.nodes[:, 1])
z = deepcopy(stl.nodes[:, 2])
stl.nodes[:, 0] = x * xscale
stl.nodes[:, 1] = y * yscale
stl.nodes[:, 2] = z * zscale
elif data['<xshift>'] or data['<yshift>'] or data['<zshift>']:
xshift = 1.
yshift = 1.
zshift = 1.
if data['<xshift>'] is not None:
if isinstance(xshift, basestring):
xshift = float(data['<xshift>'].strip("'"))
else:
xshift = float(data['<xshift>'])
if data['<yshift>'] is not None:
if isinstance(xshift, basestring):
yshift = float(data['<yshift>'].strip("'"))
else:
yshift = float(data['<yshift>'])
if data['<zshift>'] is not None:
if isinstance(xshift, basestring):
zshift = float(data['<zshift>'].strip("'"))
else:
zshift = float(data['<zshift>'])
print('delta = (%s, %s, %s)' % (xshift, yshift, zshift))
stl.nodes[:, 0] += xshift
stl.nodes[:, 1] += yshift
stl.nodes[:, 2] += zshift
elif data['--scale'] :
scale = float(data['--scale'])
stl.nodes *= scale
elif data['--stats'] :
xmax, ymax, zmax = stl.nodes.max(axis=0)
xmin, ymin, zmin = stl.nodes.min(axis=0)
print('xyz_max = (%g, %g, %g)' % (xmax, ymax, zmax))
print('xyz_min = (%g, %g, %g)' % (xmin, ymin, zmin))
return
elif data['--mirror']:
#plane = data['plane']
#assert plane in ['xy', 'yz', 'xz'], 'plane=%r' % plane
xyz = data['<xyz>']
tol = float(data['<tol>'])
stl.create_mirror_model(xyz, tol)
elif data['--flip_normals']:
stl.flip_normals()
else:
raise RuntimeError('unsupported reshape...data=%s' % data)
stl.write_stl(out_stl_filename, is_binary=is_binary, float_fmt=fmt)
def stl_to_nastran(stl_filename,
bdf_filename,
nnodes_offset=0,
nelements_offset=0,
pid=100,
mid=200,
size=8,
is_double=False,
log=None):
if isinstance(stl_filename, string_types):
model = STL(log=log)
model.read_stl(stl_filename)
elif isinstance(stl_filename, STL):
model = stl_filename
else:
raise TypeError('stl_filename must be a string or STL; type=%s' %
type(stl_filename))
nid = nnodes_offset + 1
cid = None
load_id = 10
nodal_normals = model.get_normals_at_nodes(model.elements)
if size == 8:
print_card = print_card_8
elif size == 16:
if is_double:
print_card = print_card_16
else:
print_card = print_card_double
else:
raise RuntimeError('size=%r' % size)
with open(bdf_filename, 'w') as bdf:
bdf.write('CEND\n')
#bdf.write('LOAD = %s\n' % load_id)
bdf.write('BEGIN BULK\n')
nid2 = 1
magnitude = 100.
for x, y, z in model.nodes:
card = ['GRID', nid, cid, x, y, z]
bdf.write(print_card_16(card))
#nx, ny, nz = nodal_normals[nid2 - 1]
#card = ['FORCE', load_id, nid, cid, magnitude, nx, ny, nz]
#bdf.write(print_card_8(card))
nid += 1
nid2 += 1
eid = nelements_offset + 1
for (n1, n2, n3) in (model.elements + (nnodes_offset + 1)):
card = ['CTRIA3', eid, pid, n1, n2, n3]
bdf.write(print_card_8(card))
eid += 1
t = 0.1
card = ['PSHELL', pid, mid, t]
bdf.write(print_card_8(card))
E = 1e7
G = None
nu = 0.3
card = ['MAT1', mid, E, G, nu]
bdf.write(print_card_8(card))
bdf.write('ENDDATA\n')
return bdf
def load_stl_geometry(self, stl_filename, dirname, name='main', plot=True):
print("load_stl_geometry...")
skip_reading = self.removeOldGeometry(stl_filename)
if skip_reading:
return
model = STL(log=self.log, debug=False)
#self.model_type = model.model_type
model.read_stl(stl_filename)
nodes = model.nodes
elements = model.elements
normals = model.get_normals(elements)
areas = model.get_area(elements)
#nnormals = model.get_normals_at_nodes(elements)
self.nNodes = nodes.shape[0]
self.nElements = elements.shape[0]
print("nnodes = %s" % self.nNodes)
print("nelements = %s" % self.nElements)
self.grid.Allocate(self.nElements, 1000)
#self.gridResult.SetNumberOfComponents(self.nElements)
points = vtk.vtkPoints()
points.SetNumberOfPoints(self.nNodes)
#self.gridResult.Allocate(self.nNodes, 1000)
#vectorReselt.SetNumberOfComponents(3)
self.nid_map = {}
#elem.SetNumberOfPoints(nNodes)
if 0:
fraction = 1. / self.nNodes # so you can color the nodes by ID
for nid, node in sorted(iteritems(nodes)):
points.InsertPoint(nid - 1, *node)
self.gridResult.InsertNextValue(nid * fraction)
#print str(element)
#elem = vtk.vtkVertex()
#elem.GetPointIds().SetId(0, i)
#self.aQuadGrid.InsertNextCell(elem.GetCellType(), elem.GetPointIds())
#vectorResult.InsertTuple3(0, 0.0, 0.0, 1.0)
assert nodes is not None
nnodes = nodes.shape[0]
xmax, ymax, zmax = nodes.max(axis=0)
xmin, ymin, zmin = nodes.min(axis=0)
self.log.info('xmax=%s xmin=%s' % (xmax, xmin))
self.log.info('ymax=%s ymin=%s' % (ymax, ymin))
self.log.info('zmax=%s zmin=%s' % (zmax, zmin))
dim_max = max(xmax-xmin, ymax-ymin, zmax-zmin)
self.create_global_axes(dim_max)
nid = 0
print("nnodes=%s" % nnodes)
for i in range(nnodes):
points.InsertPoint(nid, nodes[i, :])
nid += 1
nelements = elements.shape[0]
#elements -= 1
for eid in range(nelements):
elem = vtkTriangle()
node_ids = elements[eid, :]
elem.GetPointIds().SetId(0, node_ids[0])
elem.GetPointIds().SetId(1, node_ids[1])
elem.GetPointIds().SetId(2, node_ids[2])
self.grid.InsertNextCell(5, elem.GetPointIds()) #elem.GetCellType() = 5 # vtkTriangle
self.grid.SetPoints(points)
self.grid.Modified()
if hasattr(self.grid, 'Update'):
self.grid.Update()
print("updated grid")
# loadSTLResults - regions/loads
self. turn_text_on()
self.scalarBar.VisibilityOff()
self.scalarBar.Modified()
cases = {}
self.iSubcaseNameMap = {}
ID = 1
form, cases = self._fill_stl_case(cases, ID, elements, nodes, normals, areas)
self._finish_results_io2(form, cases)
def nastran_to_stl(bdf_filename,
stl_filename,
is_binary=False,
log=None,
stop_on_failure=False):
"""
Converts a Nastran model to an STL
Parameters
----------
bdf_filename : varies
str : the path to a BDF input file
BDF() : a BDF() model object
stl_filename : str
the output STL path
is_binary : bool; default=False
should the output file be binary
log : Logger()
a Python logging object
stop_on_failure : bool; default=False
should the code stop if an error is encountered
"""
if isinstance(bdf_filename, str):
model = read_bdf(bdf_filename, log=log)
else:
model = bdf_filename
#log.info('card_count = %s' % model.card_count)
nnodes = len(model.nodes)
nodes = np.zeros((nnodes, 3), dtype='float64')
elements = []
i = 0
nodeid_to_i_map = {}
offset = False
if offset:
nid = list(model.nodes.keys())[0]
xyz0 = model.nodes[nid].get_position()
else:
xyz0 = np.zeros(3, dtype='float64')
for node_id, node in sorted(model.nodes.items()):
xyz = node.get_position()
nodes[i, :] = xyz - xyz0
nodeid_to_i_map[node_id] = i
i += 1
assert len(model.nodes) == i, 'model.nodes=%s i=%s' % (len(model.nodes), i)
for unused_eid, element in sorted(model.elements.items()):
if element.type in ['CQUADR']:
continue
elif element.type in [
'CBAR',
'CBEAM',
'CONM2',
'RBE2',
'RBE3',
'CBUSH',
'CBUSH1D',
'CBUSH2D',
'CONROD',
'CROD',
'CELAS1',
'CELAS2',
'CELAS3',
'CELAS4',
'CDAMP1',
'CDAMP2',
'CDAMP3',
'CDAMP4',
]:
continue
elif element.type in ['CQUAD4']:
n1, n2, n3, n4 = element.node_ids
i1, i2, i3, i4 = (nodeid_to_i_map[n1], nodeid_to_i_map[n2],
nodeid_to_i_map[n3], nodeid_to_i_map[n4])
elements.append([i1, i2, i3])
elements.append([i3, i4, i1])
elif element.type in ['CTRIA3', 'CTRIAR']:
nids = element.node_ids
unids = np.unique(nids)
if len(unids) == 2:
continue
n1, n2, n3 = nids
i1, i2, i3 = nodeid_to_i_map[n1], nodeid_to_i_map[
n2], nodeid_to_i_map[n3]
elements.append([i1, i2, i3])
else:
model.log.warning('skipping %s' % element.type)
elements = np.array(elements, dtype='int32')
stl = STL(log=model.log)
stl.nodes = nodes
#stl.nodes -= nodes[0, :]
stl.elements = elements
stl.write_stl(stl_filename,
is_binary=is_binary,
stop_on_failure=stop_on_failure)
return stl
def stl_to_nastran(stl_filename, bdf_filename,
nnodes_offset=0, nelements_offset=0,
pid=100, mid=200,
size=8, is_double=False,
log=None):
if isinstance(stl_filename, string_types):
model = STL(log=log)
model.read_stl(stl_filename)
elif isinstance(stl_filename, STL):
model = stl_filename
else:
raise TypeError('stl_filename must be a string or STL; type=%s' % type(stl_filename))
nid = nnodes_offset + 1
cid = None
load_id = 10
nodal_normals = model.get_normals_at_nodes(model.elements)
if size == 8:
print_card = print_card_8
elif size == 16:
if is_double:
print_card = print_card_16
else:
print_card = print_card_double
else:
raise RuntimeError('size=%r' % size)
with open(bdf_filename, 'w') as bdf:
bdf.write('CEND\n')
#bdf.write('LOAD = %s\n' % load_id)
bdf.write('BEGIN BULK\n')
nid2 = 1
magnitude = 100.
for x, y, z in model.nodes:
card = ['GRID', nid, cid, x, y, z]
bdf.write(print_card_16(card))
#nx, ny, nz = nodal_normals[nid2 - 1]
#card = ['FORCE', load_id, nid, cid, magnitude, nx, ny, nz]
#bdf.write(print_card_8(card))
nid += 1
nid2 += 1
eid = nelements_offset + 1
for (n1, n2, n3) in (model.elements + (nnodes_offset + 1)):
card = ['CTRIA3', eid, pid, n1, n2, n3]
bdf.write(print_card_8(card))
eid += 1
t = 0.1
card = ['PSHELL', pid, mid, t]
bdf.write(print_card_8(card))
E = 1e7
G = None
nu = 0.3
card = ['MAT1', mid, E, G, nu]
bdf.write(print_card_8(card))
bdf.write('ENDDATA\n')
return bdf
def stl_reshape(data):
if '--xy' not in data:
data['--xy'] = False
if '--yz' not in data:
data['--yz'] = False
if '--xz' not in data:
data['--xz'] = False
if '--scale' not in data:
data['--scale'] = None
if '--xscale' not in data:
data['--xscale'] = None
if '--yscale' not in data:
data['--yscale'] = None
if '--zscale' not in data:
data['--zscale'] = None
if '<xshift>' not in data:
data['<xshift>'] = None
if '<yshift>' not in data:
data['<yshift>'] = None
if '<zshift>' not in data:
data['<zshift>'] = None
if '--stats' not in data:
data['--stats'] = None
if '--mirror' not in data:
data['--mirror'] = None
if '--flip_normals' not in data:
data['--flip_normals'] = None
in_stl_filename = data['<in_stl_filename>']
out_stl_filename = data['<out_stl_filename>']
assert in_stl_filename != out_stl_filename
stl = STL()
stl.read_stl(in_stl_filename)
if data['<fmt>'] in ['False', False]:
is_binary = True
fmt = None
else:
fmt = data['<fmt>']
is_binary = False
print('is_binary=%s' % is_binary)
if data['--xy'] or data['--yz'] or data['--xz']:
scale = 1.
if data['--scale'] is not None:
scale = float(data['--scale'])
if data['--xy']:
assert data['--yz'] is False
assert data['--xz'] is False
axes = 'xy'
elif data['--yz']:
assert data['--xy'] is False
assert data['--xz'] is False
axes = 'yz'
elif data['--xz']:
assert data['--xy'] is False
assert data['--yz'] is False
axes = 'xz'
#print('flip_axes = %r' % axes)
#print(data)
stl.flip_axes(axes, scale)
elif data['--xscale'] or data['--yscale'] or data['--zscale']:
xscale = 1.
yscale = 1.
zscale = 1.
if data['--xscale'] is not None:
xscale = float(data['--xscale'].strip("'"))
if data['--yscale'] is not None:
yscale = float(data['--yscale'].strip("'"))
if data['--zscale'] is not None:
zscale = float(data['--zscale'].strip("'"))
x = deepcopy(stl.nodes[:, 0])
y = deepcopy(stl.nodes[:, 1])
z = deepcopy(stl.nodes[:, 2])
stl.nodes[:, 0] = x * xscale
stl.nodes[:, 1] = y * yscale
stl.nodes[:, 2] = z * zscale
elif data['<xshift>'] or data['<yshift>'] or data['<zshift>']:
xshift = 1.
yshift = 1.
zshift = 1.
if data['<xshift>'] is not None:
if isinstance(xshift, basestring):
xshift = float(data['<xshift>'].strip("'"))
else:
xshift = float(data['<xshift>'])
if data['<yshift>'] is not None:
if isinstance(xshift, basestring):
yshift = float(data['<yshift>'].strip("'"))
else:
yshift = float(data['<yshift>'])
if data['<zshift>'] is not None:
if isinstance(xshift, basestring):
zshift = float(data['<zshift>'].strip("'"))
else:
zshift = float(data['<zshift>'])
print('delta = (%s, %s, %s)' % (xshift, yshift, zshift))
stl.nodes[:, 0] += xshift
stl.nodes[:, 1] += yshift
stl.nodes[:, 2] += zshift
elif data['--scale']:
scale = float(data['--scale'])
stl.nodes *= scale
elif data['--stats']:
xmax, ymax, zmax = stl.nodes.max(axis=0)
xmin, ymin, zmin = stl.nodes.min(axis=0)
print('xyz_max = (%g, %g, %g)' % (xmax, ymax, zmax))
print('xyz_min = (%g, %g, %g)' % (xmin, ymin, zmin))
return
elif data['--mirror']:
#plane = data['plane']
#assert plane in ['xy', 'yz', 'xz'], 'plane=%r' % plane
xyz = data['<xyz>']
tol = float(data['<tol>'])
stl.create_mirror_model(xyz, tol)
elif data['--flip_normals']:
stl.flip_normals()
else:
raise RuntimeError('unsupported reshape...data=%s' % data)
stl.write_stl(out_stl_filename, is_binary=is_binary, float_fmt=fmt)
