本文整理汇总了Python中pyNastran.bdf.bdf.BDF.coords[1]方法的典型用法代码示例。如果您正苦于以下问题：Python BDF.coords[1]方法的具体用法？Python BDF.coords[1]怎么用？Python BDF.coords[1]使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pyNastran.bdf.bdf.BDF的用法示例。
在下文中一共展示了BDF.coords[1]方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_loads_sum_radial_01
# 需要导入模块: from pyNastran.bdf.bdf import BDF [as 别名]
# 或者: from pyNastran.bdf.bdf.BDF import coords[1] [as 别名]
def test_loads_sum_radial_01(self):
model = BDF()
from pyNastran.bdf.bdf import CORD2C, GRID, FORCE
model.nodes[1] = GRID(1, cp=1, xyz=[0., 0., 0.], cd=0, ps='', seid=0,
comment='')
cid = 1
origin = [0., 0., 0.]
zaxis = [0., 0., 1.]
xaxis = [1., 0., 0.]
model.coords[1] = CORD2C(cid, rid=0, origin=origin, zaxis=zaxis,
xzplane=xaxis, comment='')
sid = 1
node = 1
cid = 1
mag = 1.1
xyz = [1., 0., 0.]
radial_force = FORCE(sid, node, cid, mag, xyz, comment='')
model.add_card_class(radial_force)
sid = 2
xyz = [1., 90., 0.]
mag = 2.2
theta_force = FORCE(sid, node, cid, mag, xyz, comment='')
model.add_card_class(theta_force)
model.cross_reference()
p0 = 1
eids = None
nids = None
loadcase_id = 1
F, M = model.sum_forces_moments(p0, loadcase_id, include_grav=False,
xyz_cid0=None)
F2, M2 = model.sum_forces_moments_elements(p0, loadcase_id, eids, nids,
include_grav=False,
xyz_cid0=None)
assert np.allclose(F, F2), 'F=%s F2=%s' % (F, F2)
assert np.allclose(M, M2), 'M=%s M2=%s' % (M, M2)
F1_expected = np.array([1.1, 0., 0.])
M1_expected = np.array([0., 0., 0.])
self.assertTrue(allclose(F1_expected, F), 'loadcase_id=%s F_expected=%s F=%s' % (loadcase_id, F1_expected, F))
self.assertTrue(allclose(M1_expected, M), 'loadcase_id=%s M_expected=%s M=%s' % (loadcase_id, M1_expected, M))
loadcase_id = 2
F, M = model.sum_forces_moments(p0, loadcase_id, include_grav=False,
xyz_cid0=None)
F2, M2 = model.sum_forces_moments_elements(p0, loadcase_id, eids, nids,
include_grav=False,
xyz_cid0=None)
assert np.allclose(F, F2), 'F=%s F2=%s' % (F, F2)
assert np.allclose(M, M2), 'M=%s M2=%s' % (M, M2)
F2_expected = np.array([0., 2.2, 0.])
M2_expected = np.array([0., 0., 0.])
self.assertTrue(allclose(F2_expected, F), 'loadcase_id=%s F_expected=%s F=%s' % (loadcase_id, F2_expected, F))
self.assertTrue(allclose(M2_expected, M), 'loadcase_id=%s M_expected=%s M=%s' % (loadcase_id, M2_expected, M))