springs Module

Inheritance diagram of pyNastran.bdf.cards.elements.springs

All spring elements are defined in this file. This includes:

  • CELAS1

  • CELAS2

  • CELAS3

  • CELAS4

All spring elements are SpringElement and Element objects.

class pyNastran.bdf.cards.elements.springs.CELAS1(eid, pid, nids, c1=0, c2=0, comment='')[source]

Bases: pyNastran.bdf.cards.elements.springs.SpringElement

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CELAS1

EID

PID

G1

C1

G2

C2

Creates a CELAS1 card

Parameters
eidint

element id

pidint

property id (PELAS)

nidsList[int, int]

node ids

c1 / c2int; default=0

DOF for nid1 / nid2

commentstr; default=’’

a comment for the card

K()[source]
classmethod add_card(card, comment='')[source]

Adds a CELAS1 card from BDF.add_card(...)

Parameters
cardBDFCard()

a BDFCard object

commentstr; default=’’

a comment for the card

c1 = None

component number

cross_reference(model: BDF) → None[source]

Cross links the card so referenced cards can be extracted directly

Parameters
modelBDF()

the BDF object

classmethod export_to_hdf5(h5_file, model, eids)[source]

exports the elements in a vectorized way

get_edge_ids()[source]
property node_ids
raw_fields()[source]
safe_cross_reference(model: BDF, xref_errors)[source]

Cross links the card so referenced cards can be extracted directly

Parameters
modelBDF()

the BDF object

type = 'CELAS1'
uncross_reference() → None[source]

Removes cross-reference links

validate()[source]

card checking method that should be overwritten

write_card(size: int = 8, is_double: bool = False) → str[source]

Writes the card with the specified width and precision

Parameters
sizeint (default=8)

size of the field; {8, 16}

is_doublebool (default=False)

is this card double precision

Returns
msgstr

the string representation of the card

class pyNastran.bdf.cards.elements.springs.CELAS2(eid, k, nids, c1=0, c2=0, ge=0.0, s=0.0, comment='')[source]

Bases: pyNastran.bdf.cards.elements.springs.SpringElement

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CELAS2

EID

K

G1

C1

G2

C2

GE

S

Creates a CELAS2 card

Parameters
eidint

element id

kfloat

spring stiffness

nidsList[int, int]

SPOINT ids node ids

c1 / c2int; default=0

DOF for nid1 / nid2

geint; default=0.0

damping coefficient

sfloat; default=0.0

stress coefficient

commentstr; default=’’

a comment for the card

K()[source]
classmethod add_card(card, comment='')[source]

Adds a CELAS2 card from BDF.add_card(...)

Parameters
cardBDFCard()

a BDFCard object

commentstr; default=’’

a comment for the card

c1 = None

component number

cp_name_map = {'GE': 'ge', 'K': 'k', 'S': 's'}
cross_reference(model: BDF) → None[source]

Cross links the card so referenced cards can be extracted directly

Parameters
modelBDF()

the BDF object

classmethod export_to_hdf5(h5_file, model, eids)[source]

exports the elements in a vectorized way

ge = None

damping coefficient

get_edge_ids()[source]
k = None

stiffness of the scalar spring

property node_ids
raw_fields()[source]
repr_fields()[source]

Gets the fields in their simplified form

Returns
fieldsList[varies]

the fields that define the card

s = None

stress coefficient

safe_cross_reference(model: BDF, xref_errors)[source]

Cross links the card so referenced cards can be extracted directly

Parameters
modelBDF()

the BDF object

type = 'CELAS2'
uncross_reference() → None[source]

Removes cross-reference links

validate()[source]

card checking method that should be overwritten

write_card(size: int = 8, is_double: bool = False) → str[source]

Writes the card with the specified width and precision

Parameters
sizeint (default=8)

size of the field; {8, 16}

is_doublebool (default=False)

is this card double precision

Returns
msgstr

the string representation of the card

class pyNastran.bdf.cards.elements.springs.CELAS3(eid, pid, nodes, comment='')[source]

Bases: pyNastran.bdf.cards.elements.springs.SpringElement

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CELAS3

EID

PID

S1

S2

Creates a CELAS3 card

Parameters
eidint

element id

pidint

property id (PELAS)

nidsList[int, int]

SPOINT ids

commentstr; default=’’

a comment for the card

K()[source]
classmethod add_card(card, comment='')[source]

Adds a CELAS3 card from BDF.add_card(...)

Parameters
cardBDFCard()

a BDFCard object

commentstr; default=’’

a comment for the card

cross_reference(model: BDF) → None[source]

Cross links the card so referenced cards can be extracted directly

Parameters
modelBDF()

the BDF object

classmethod export_to_hdf5(h5_file, model, eids)[source]

exports the elements in a vectorized way

get_edge_ids()[source]
property node_ids
nodes = None

Scalar point identification numbers

raw_fields()[source]
safe_cross_reference(model: BDF, xref_errors)[source]

Cross links the card so referenced cards can be extracted directly

Parameters
modelBDF()

the BDF object

type = 'CELAS3'
uncross_reference() → None[source]

Removes cross-reference links

write_card(size: int = 8, is_double: bool = False) → str[source]

Writes the card with the specified width and precision

Parameters
sizeint (default=8)

size of the field; {8, 16}

is_doublebool (default=False)

is this card double precision

Returns
msgstr

the string representation of the card

class pyNastran.bdf.cards.elements.springs.CELAS4(eid, k, nodes, comment='')[source]

Bases: pyNastran.bdf.cards.elements.springs.SpringElement

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CELAS4

EID

K

S1

S2

Creates a CELAS4 card

Parameters
eidint

element id

kfloat

spring stiffness

nidsList[int, int]

SPOINT ids

commentstr; default=’’

a comment for the card

K()[source]
classmethod add_card(card, comment='')[source]

Adds a CELAS4 card from BDF.add_card(...)

Parameters
cardBDFCard()

a BDFCard object

commentstr; default=’’

a comment for the card

cp_name_map = {'K': 'k'}
cross_reference(model: BDF) → None[source]

Cross links the card so referenced cards can be extracted directly

Parameters
modelBDF()

the BDF object

classmethod export_to_hdf5(h5_file, model, eids)[source]

exports the elements in a vectorized way

get_edge_ids()[source]
k = None

stiffness of the scalar spring

property node_ids
raw_fields()[source]
safe_cross_reference(model: BDF, xref_errors)[source]

Cross links the card so referenced cards can be extracted directly

Parameters
modelBDF()

the BDF object

type = 'CELAS4'
uncross_reference() → None[source]

Removes cross-reference links

validate()[source]

card checking method that should be overwritten

write_card(size: int = 8, is_double: bool = False) → str[source]

Writes the card with the specified width and precision

Parameters
sizeint (default=8)

size of the field; {8, 16}

is_doublebool (default=False)

is this card double precision

Returns
msgstr

the string representation of the card

class pyNastran.bdf.cards.elements.springs.SpringElement[source]

Bases: pyNastran.bdf.cards.base_card.Element

dummy init

Mass()[source]
repr_fields()[source]

Gets the fields in their simplified form

Returns
fieldsList[varies]

the fields that define the card

write_card_16(is_double=False)[source]