Python BDF.add_card方法代码示例

# 需要导入模块: from pyNastran.bdf.dev_vectorized.bdf import BDF [as 别名]
# 或者: from pyNastran.bdf.dev_vectorized.bdf.BDF import add_card [as 别名]
    def test_solid_03(self):
        """checks linear static solid material"""
        mid = 2
        pid = 4
        rho = 0.1
        tableID = 42
        cards = [
            #$ Solid Nodes
            ['GRID', 11, 0, 0., 0., 0., 0],
            ['GRID', 12, 0, 1., 0., 0., 0],
            ['GRID', 13, 0, 1., 1., 0., 0],
            ['GRID', 14, 0, 0., 1., 0., 0],

            ['GRID', 15, 0, 0., 0., 2., 0],
            ['GRID', 16, 0, 1., 0., 2., 0],
            ['GRID', 17, 0, 1., 1., 2., 0],
            ['GRID', 18, 0, 0., 1., 2., 0],

            # Solids
            ['CHEXA',  7, pid, 11, 12, 13, 14, 15, 16,  17, 18],
            ['CTETRA', 8, pid, 11, 12, 13, 15],

            # Solid Nodes
            ['GRID',  21, 0, 0., 0., 0.,  0,],
            ['GRID',  22, 0, 1., 0., 0.,  0,],
            ['GRID',  23, 0, 1., 1., 0.,  0,],
            ['GRID',  24, 0, 0., 0., 2.,  0,],
            ['GRID',  25, 0, 1., 0., 2.,  0,],
            ['GRID',  26, 0, 1., 1., 2.,  0,],
            ['CPENTA', 9, pid, 21, 22, 23, 24, 25, 26],

            # static
            ['PSOLID', pid, mid, 0],
            ['MAT1', mid, 1.0, 2.0, 3.0, rho],
            ['MATS1', mid, tableID, 'PLASTIC', 0.0, 1, 1, 100000., ],
            #['TABLEST'],
            ['TABLES1', tableID, 1, None, None, None, None, None, None,
            1.0, 10.0, 2.0, 10.0, 'ENDT'],
        ]
        card_count = {
            'GRID' : 14,
            'CPENTA6': 1,
            'CTETRA4': 1,
            'PSOLID': 1,
            'CHEXA8' : 1,
            'MAT1': 1,
            'MATS1': 1,
            'TABLES1': 1,
        }
        model = BDF(debug=False)
        model.allocate(card_count)
        for fields in cards:
            model.add_card(fields, fields[0], is_list=True)
        model.cross_reference()

        mat = model.materials[mid]
        print('----MAT----', type(mat))
        print(mat)
        print('E = %s' % mat.get_E_by_material_index())
        print('E = %s' % mat.get_E_by_material_id())

# 需要导入模块: from pyNastran.bdf.dev_vectorized.bdf import BDF [as 别名]
# 或者: from pyNastran.bdf.dev_vectorized.bdf.BDF import add_card [as 别名]
    def add_card(self, card_lines, card_name, comment='', is_list=True):
        card_name = card_name.upper()
        self._increase_card_count(card_name)
        if card_name in ['DEQATN']:
            card_obj = card_lines
            card = card_lines
        else:
            if is_list:
                fields = card_lines
            else:
                fields = to_fields(card_lines, card_name)

            # apply OPENMDAO syntax
            if self._is_dynamic_syntax:
                fields = [self._parse_dynamic_syntax(field) if '%' in
                          field[0:1] else field for field in fields]

                card = wipe_empty_fields([interpret_value(field, fields)
                                          if field is not None
                                          else None for field in fields])
            else:  # leave everything as strings
                card = wipe_empty_fields(fields)
            card_obj = BDFCard(card)

        if card_name == 'HYPER':
            hyper = HYPER(card_obj, comment)
            self.hyper[hyper.pid] = hyper
            return
        elif card_name == 'FLOW':
            flow = FLOW(card_obj, comment)
            self.flow[flow.flow_id] = flow
            return
        BDF.add_card(self, card, card_name, comment=comment, is_list=True)

# 需要导入模块: from pyNastran.bdf.dev_vectorized.bdf import BDF [as 别名]
# 或者: from pyNastran.bdf.dev_vectorized.bdf.BDF import add_card [as 别名]
    def test_cord1_01(self):
        model = BDF(debug=False)
        card_count = {
            'CCORD1R' : 1,
            'GRID' : 3,
        }
        model.allocate(card_count)
        cards = [
            ['CORD1R', 1, 1, 2, 3],  # fails on self.k
            ['GRID', 1, 0, 0., 0., 0.],
            ['GRID', 2, 0, 1., 0., 0.],
            ['GRID', 3, 0, 1., 1., 0.],
        ]
        for card in cards:
            model.add_card(card, card[0], comment='comment', is_list=True)
        c1 = model.Coord(1)
        self.assertEquals(c1.G1(), 1)
        self.assertEquals(c1.G2(), 2)
        self.assertEquals(c1.G3(), 3)

        model.cross_reference()
        self.assertEquals(c1.G1(), 1)
        self.assertEquals(c1.G2(), 2)
        self.assertEquals(c1.G3(), 3)

        self.assertEquals(c1.NodeIDs(), [1, 2, 3])

# 需要导入模块: from pyNastran.bdf.dev_vectorized.bdf import BDF [as 别名]
# 或者: from pyNastran.bdf.dev_vectorized.bdf.BDF import add_card [as 别名]
    def test_solid_02(self):
        mid = 2
        pid = 4
        rho = 0.1
        cards = [
            #$ Solid Nodes
            ['GRID', 11, 0, 0., 0., 0., 0],
            ['GRID', 12, 0, 1., 0., 0., 0],
            ['GRID', 13, 0, 1., 1., 0., 0],
            ['GRID', 14, 0, 0., 1., 0., 0],

            ['GRID', 15, 0, 0., 0., 2., 0],
            ['GRID', 16, 0, 1., 0., 2., 0],
            ['GRID', 17, 0, 1., 1., 2., 0],
            ['GRID', 18, 0, 0., 1., 2., 0],

            # Solids
            ['CHEXA', 7, pid, 11, 12, 13, 14, 15, 16,  17, 18],
            ['CTETRA', 8, pid, 11, 12, 13, 15],

            # Solid Nodes
            ['GRID', 21, 0, 0., 0., 0.,  0,],
            ['GRID', 22, 0, 1., 0., 0.,  0,],
            ['GRID', 23, 0, 1., 1., 0.,  0,],
            ['GRID', 24, 0, 0., 0., 2.,  0,],
            ['GRID', 25, 0, 1., 0., 2.,  0,],
            ['GRID', 26, 0, 1., 1., 2.,  0,],
            ['CPENTA', 9, pid, 21, 22, 23, 24, 25, 26],

            # hyperelastic
            ['PLSOLID', pid, mid, 'GRID'],
            ['MATHP', mid, None, None, None, rho],
        ]
        card_count = {
            'GRID' : 14,
            'CTETRA4': 1,
            'CPENTA6': 1,
            'CHEXA8' : 1,
            'PLSOLID': 1,
            'MATHP': 1,
        }
        model = BDF(debug=True)
        model.allocate(card_count)
        for fields in cards:
            model.add_card(fields, fields[0], is_list=True)
        model.cross_reference()

        # CTETRA
        eid = 8
        nsm = 0.
        V = 1. / 3.
        self.check_solid(model, eid, 'CTETRA4', pid, 'PLSOLID', mid, 'MATHP', nsm, rho, V)

        eid = 9
        V = 1.0
        self.check_solid(model, eid, 'CPENTA6', pid, 'PLSOLID', mid, 'MATHP', nsm, rho, V)

        eid = 7
        V = 2.0
        self.check_solid(model, eid, 'CHEXA8', pid, 'PLSOLID', mid, 'MATHP', nsm, rho, V)

# 需要导入模块: from pyNastran.bdf.dev_vectorized.bdf import BDF [as 别名]
# 或者: from pyNastran.bdf.dev_vectorized.bdf.BDF import add_card [as 别名]
    def test_cord1c_01(self):
        lines = ['cord1c,2,1,4,3']
        grids = [
            ['GRID', 4, 0, 0.0, 0., 0.],
            ['GRID', 3, 0, 0.0, 0., 1.],
            ['GRID', 1, 0, 0.0, 1., 0.],
        ]

        card_count = {
            'CORD1C' : 1,
            'GRID' : 3,
        }

        model = BDF(debug=False)
        model.allocate(card_count)
        model.add_card(lines, 'CORD1C', is_list=False)
        for grid in grids:
            model.add_card(grid, grid[0], is_list=True)
        model.build()

        size = 8
        bdf_file = StringIO()
        card = model.coords.slice_by_coord_id(2)
        self.assertEquals(card.get_cid_by_coord_id(), 2)
        self.assertEquals(card.get_rid_by_coord_id(), 0)
        card.write_card(bdf_file, size=8, is_double=False)

# 需要导入模块: from pyNastran.bdf.dev_vectorized.bdf import BDF [as 别名]
# 或者: from pyNastran.bdf.dev_vectorized.bdf.BDF import add_card [as 别名]
    def test_cord2r_02(self):
        grid = ['GRID       20143       7 -9.31-4  .11841 .028296']
        coord = ['CORD2R         7           1.135 .089237  -.0676    .135 .089237  -.0676',
                 '           1.135 .089237   .9324']

        model = BDF(debug=False)
        card_count = {
            'GRID' : 1,
            'CORD2R' : 1,
        }
        model.allocate(card_count)
        card = model.process_card(grid)
        model.add_card(card, card[0])

        card = model.process_card(coord)
        model.add_card(card, card[0])
        model.cross_reference()

        g = model.Node(20143)
        #xyz = g.Position()
        xyz = model.coords.get_global_position_by_node_id(20143, g.cp[0])[0]

        # by running it through Patran...
        #GRID     20143          1.1067  .207647 -.068531
        expected = array([1.106704, .207647, -0.068531])
        diff = xyz - expected

        msg = '\nexpected=%s \nactual  =%s \ndiff    =%s' % (expected, xyz, diff)
        assert allclose(diff, 0.), msg
        coord = model.Coord(7)
        coord.T()
        self.assertTrue(array_equal(coord.T(), coord.beta_n(2)))

# 需要导入模块: from pyNastran.bdf.dev_vectorized.bdf import BDF [as 别名]
# 或者: from pyNastran.bdf.dev_vectorized.bdf.BDF import add_card [as 别名]
    def getNodes(self, grids, grids_expected, coords):
        model = BDF(debug=False)

        card_count = {
            'GRID' : len(grids),
            'CORD2R' : len(coords),
        }
        model.allocate(card_count)
        for grid in grids:
            (nid, cid, x, y, z) = grid
            model.add_card(['GRID', nid, cid, x, y, z], 'GRID')

        for coord in coords:
            (cid, rid, x, y, z) = coord
            model.add_card(['CORD2R', cid, rid] + x + y + z, 'CORD2R')
            #coordObj = model.Coord(cid)

        model.cross_reference()

        for (i, grid) in enumerate(grids_expected):
            (nid, cid, x, y, z) = grid
            nodes = model.grid
            pos = nodes.get_position_by_node_id([nid])[0]
            n = array([x, y, z])
            msg = 'i=%s expected=%s actual=%s\n' % (i, n, pos)
            print(msg)
            assert allclose(n, pos), msg

# 需要导入模块: from pyNastran.bdf.dev_vectorized.bdf import BDF [as 别名]
# 或者: from pyNastran.bdf.dev_vectorized.bdf.BDF import add_card [as 别名]
    def test_cord2_rcs_03(self):
        """
        all points are located at <30,40,50>
        """
        model = BDF(debug=False)
        card_count = {
            'GRID' : 3,
            'CORD2R' : 1,
            'CORD2C' : 1,
            'CORD2S' : 2,
        }
        model.allocate(card_count)

        cards = [
            [
                'CORD2S*                2               0              0.              0.',
                '*                     0.              0.              0.              1.*       ',
                '*                     1.              0.              1.',],
            [
                #'$ Femap with NX Nastran Coordinate System 30 : rectangular in spherical',
                'CORD2R*               30               2             14.             30.',
                '*                    70.    13.431863852   32.1458443949   75.2107442927*       ',
                '*          14.4583462334   33.4569982885   68.2297989286',],
            [
                #'$ Femap with NX Nastran Coordinate System 31 : cylindrical in spherical',
                'CORD2C*               31               2              3.             42.',
                '*                  -173.   2.86526881213   45.5425615252   159.180363517*       ',
                '*          3.65222385965   29.2536614627  -178.631312271',],
            [
                #'$ Femap with NX Nastran Coordinate System 32 : spherical in spherical',
                'CORD2S*               32               2             22.             14.',
                '*                    85.   22.1243073983   11.9537753718   77.9978191005*       ',
                '*          21.0997242967   13.1806120497   88.4824763008',],
            [
                'GRID*                 30              30   40.7437952957  -23.6254877994',
                '*           -33.09784854               0',],
            [
                'GRID*                 31              31   62.9378078196   15.9774797923',
                '*          31.0484428362               0',],
            [
                'GRID*                 32              32   53.8270847449   95.8215692632',
                '*          159.097767463               0',],
        ]
        for lines in cards:
            card = model.process_card(lines)
            model.add_card(card, card[0])
        model.build()
        for nid in model.nodes:
            a = array([30., 40., 50.])
            b = model.Node(nid).get_position()
            self.assertTrue(allclose(array([30., 40., 50.]), model.Node(nid).get_position()), str(a - b))

# 需要导入模块: from pyNastran.bdf.dev_vectorized.bdf import BDF [as 别名]
# 或者: from pyNastran.bdf.dev_vectorized.bdf.BDF import add_card [as 别名]
 def test_cord2_rcs_02(self):
     """
     all points are located at <30,40,50>
     """
     model = BDF(debug=False)
     card_count = {
         'GRID' : 3,
         'CORD2R' : 1,
         'CORD2C' : 2,
         'CORD2S' : 1,
     }
     model.allocate(card_count)
     cards = [
         [
             'CORD2C*                1               0              0.              0.',
             '*                     0.              0.              0.              1.*       ',
             '*                     1.              0.              1.',],
         [
             #'$ Femap with NX Nastran Coordinate System 20 : rectangular defined in cylindrical',
             'CORD2R*               20               1              7.             20.',
             '*                    -6.   7.07106781187   28.1301023542             -6.*       ',
             '*          7.70710678119             20.  -5.29289321881',],
         [
             #'$ Femap with NX Nastran Coordinate System 21 : cylindrical defined in cylindrical',
             'CORD2C*               21               1             15.            -30.',
             '*                    12.   14.6565766735  -30.3177805524   12.9355733712*       ',
             '*          14.6234241583  -26.4257323272   11.9304419665',],
         [
             #'$ Femap with NX Nastran Coordinate System 22 : spherical defined in cylindrical',
             'CORD2S*               22               1              5.            -75.',
             '*                    20.   5.66032384035  -82.9319986389   19.8502545865*       ',
             '*          4.88876051026  -73.8006653677   19.0116094889',],
         [
             'GRID*                 20              20   64.2559135157  -14.9400459772',
             '*          27.3271005317               0',],
         [
             'GRID*                 21              21   52.8328862418  -28.8729017195',
             '*           34.615939507               0',],
         [
             'GRID*                 22              22   61.1042111232   158.773483595',
             '*           -167.4951724               0',],
     ]
     for lines in cards:
         card = model.process_card(lines)
         model.add_card(card, card[0])
     model.build()
     for nid in model.nodes:
         a = array([30., 40., 50.])
         b = model.Node(nid).get_position()
         self.assertTrue(allclose(array([30., 40., 50.]), model.Node(nid).get_position()), str(a - b))

# 需要导入模块: from pyNastran.bdf.dev_vectorized.bdf import BDF [as 别名]
# 或者: from pyNastran.bdf.dev_vectorized.bdf.BDF import add_card [as 别名]
    def test_crod_01(self):
        model = BDF(debug=debug)
        model.allocate({"CROD": 1})

        lines = ["CROD          10     100      10       2"]
        model.add_card(lines, "CROD", is_list=False)

        size = 8
        f = StringIO()
        # card = CROD(card)
        card = model.crod.slice_by_element_id([10])
        card.write_card(f, size)
        # card.rawFields()
        self.assertEquals(card.get_element_id_by_element_index(), 10)
        self.assertEquals(card.get_property_id_by_element_index(), 100)

# 需要导入模块: from pyNastran.bdf.dev_vectorized.bdf import BDF [as 别名]
# 或者: from pyNastran.bdf.dev_vectorized.bdf.BDF import add_card [as 别名]
    def test_cord2_rcs_01(self):
        """
        all points are located at <30,40,50>
        """
        model = BDF(debug=False)
        card_count = {
            'GRID' : 3,
            'CORD2R' : 1,
            'CORD2C' : 1,
            'CORD2S' : 1,
        }
        model.allocate(card_count)
        cards = [
            [
                #'$ Femap with NX Nastran Coordinate System 10 : rectangular defined in a rectangular',
                'CORD2R*               10               0             10.              5.',
                '*                     3.   10.3420201433   4.53015368961   3.81379768136*       ',
                '*          10.7198463104   5.68767171433   3.09449287122',],
            [
                #'$ Femap with NX Nastran Coordinate System 11 : cylindrical defined in rectangular',
                'CORD2C*               11               0              7.              3.',
                '*                     9.   7.64278760969   2.73799736977   9.71984631039*       ',
                '*          7.75440650673   3.37968226211   8.46454486422',],
            [
                #'$ Femap with NX Nastran Coordinate System 12 : spherical defined in rectangular',
                'CORD2S*               12               0             12.              8.',
                '*                     5.   12.6427876097   7.86697777844   5.75440650673*       ',
                '*          12.6634139482   8.58906867688   4.53861076379',],

            [
                'GRID*                 10              10   42.9066011565   34.2422137135',
                '*          28.6442730262               0',],
            [
                'GRID*                 11              11   48.8014631871   78.8394787869',
                '*          34.6037164304               0',],
            [
                'GRID*                 12              12   58.0775343829   44.7276544324',
                '*          75.7955331161               0',],
        ]
        for lines in cards:
            card = model.process_card(lines)
            model.add_card(card, card[0])
        model.build()
        for nid in model.nodes:
            a = array([30., 40., 50.])
            b = model.Node(nid).get_position()
            self.assertTrue(allclose(array([30., 40., 50.]), model.Node(nid).get_position()), str(a - b))

# 需要导入模块: from pyNastran.bdf.dev_vectorized.bdf import BDF [as 别名]
# 或者: from pyNastran.bdf.dev_vectorized.bdf.BDF import add_card [as 别名]
 def test_cord1r_02(self):
     model = BDF(debug=False)
     card_count = {
         'CORD1R' : 1,
         'GRID' : 3,
     }
     #model.allocate(card_count)
     cards = [
         ['CORD1R', 1, 1, 2, 3],  # fails on self.k
         ['GRID', 1, 0, 0., 0., 0.],
         ['GRID', 2, 0, 1., 0., 0.],
         ['GRID', 3, 0, 1., 1., 0.],
     ]
     for card in cards:
         model.add_card(card, card[0], comment='comment\n', is_list=True)
     model.build()
     c1 = model.coords.slice_by_coord_id(1)

# 需要导入模块: from pyNastran.bdf.dev_vectorized.bdf import BDF [as 别名]
# 或者: from pyNastran.bdf.dev_vectorized.bdf.BDF import add_card [as 别名]
    def test_conrod_01(self):
        model = BDF(debug=debug)
        model.allocate({"CONROD": 1})
        eid = 10
        nid1 = 2
        nid2 = 3
        mid = 5
        A = 27.0
        lines = ["conrod,%i, %i, %i, %i, %f" % (eid, nid1, nid2, mid, A)]
        model.add_card(lines, "CONROD", is_list=False)

        size = 8
        card = model.conrod.slice_by_element_id([eid])
        f = StringIO()
        card.write_card(f, size)
        # card.rawFields()
        self.assertEquals(card.get_element_id_by_element_index(), eid)
        self.assertEquals(card.get_material_id_by_element_index(), mid)

# 需要导入模块: from pyNastran.bdf.dev_vectorized.bdf import BDF [as 别名]
# 或者: from pyNastran.bdf.dev_vectorized.bdf.BDF import add_card [as 别名]
 def test_grid_01(self):
     model = BDF(debug=False)
     cards = [
         #['CORD1R', 1, 1, 2, 3],  # fails on self.k
         ['GRID', 1, 0, 0., 0., 0.],
         ['GRID', 2, 0, 1., 0., 0.],
         ['GRID', 4, 0, 1., 2., 3.],
     ]
     card_count = {
         'GRID': 3,
     }
     model.allocate(card_count)
     for card in cards:
         model.add_card(card, card[0], comment='comment', is_list=True)
     #+------+-----+----+----+----+----+----+----+------+
     #|   0  |  1  | 2  | 3  | 4  | 5  |  6 | 7  |  8   |
     #+======+=====+====+====+====+====+====+====+======+
     #| GRID | NID | CP | X1 | X2 | X3 | CD | PS | SEID |
     #+------+-----+----+----+----+----+----+----+------+
     node = model.Node(4)

# 需要导入模块: from pyNastran.bdf.dev_vectorized.bdf import BDF [as 别名]
# 或者: from pyNastran.bdf.dev_vectorized.bdf.BDF import add_card [as 别名]
 def test_grid_01(self):
     model = BDF(debug=False)
     card_lines = [
         #['CORD1R', 1, 1, 2, 3],  # fails on self.k
         ['GRID', 1, 0, 0., 0., 0.],
         ['GRID', 2, 0, 1., 0., 0.],
         ['GRID', 4, 0, 1., 2., 3.],
     ]
     #card_count = {
         #'GRID': 3,
     #}
     cards, card_count = model.add_cards_lines(card_lines)
     model.allocate(card_count, cards)
     for card in cards:
         model.add_card(card, card[0], comment='comment', is_list=True)
     model.build()
     #+------+-----+----+----+----+----+----+----+------+
     #|   0  |  1  | 2  | 3  | 4  | 5  |  6 | 7  |  8   |
     #+======+=====+====+====+====+====+====+====+======+
     #| GRID | NID | CP | X1 | X2 | X3 | CD | PS | SEID |
     #+------+-----+----+----+----+----+----+----+------+
     node = model.grid.slice_by_node_id(4)