Quad4R - Quadrilateral element with reduced integration (`pyfe3d.quad4r`)#

The Quad4R has full reduced integration, is very efficient, but has an hourglass control to compensate the reduced integration that is not robust and creates significant artificial stiffness. Therefore, the recommended quadrilateral plane stress elements is the pyfe3d.quad4.

The Quad4R element has 6 degrees-of-freedom (DOF): \(u\), \(v\), \(w\), \(r_x\), \(r_y\), \(r_z\). All DOF are interpolated bi-linearly between the nodes, such that any of the DOF gradients can be constant over the element when the element is rectangular.

class pyfe3d.quad4r.Quad4R#

Nodal connectivity for the plate element similar to Nastran’s CQUAD4:

 ^ y
 |
4 ________ 3
 |       |
 |       |   --> x
 |       |
 |_______|
1         2

The element coordinate system is determined identically what is explained in Nastran’s quick reference guide for the CQUAD4 element, as illustrated below.

Attributes:

eid,int: Element identification number.
pid,int: Property identification number.
area,double: Element area.
K6ROT,double: Element drilling stiffness, added only to the diagonal of the local stiffness matrix. The default value is according to AUTODESK NASTRAN’s quick reference guide is K6ROT = 100. for static analysis. For modal solutions, this value should be K6ROT=1.e4. MSC NASTRAN’s quick reference guide states that K6ROT > 100. should not be used, but this is controversial, already being controversial to what AUTODESK NASTRAN’s manual says.
r11, r12, r13, r21, r22, r23, r31, r32, r33double: Rotation matrix from local to global coordinates.
m11, m12, m21, m22double: Rotation matrix only for the constitutive relations. Used when a material direction is used instead of the element local coordinates.
c1, c2, c3, c4int: Position of each node in the global stiffness matrix.
n1, n2, n3, n4int: Node identification number.
init_k_KC0, init_k_KG, init_k_Mint: Position in the arrays storing the sparse data for the structural matrices.
init_k_KA_beta, init_k_KA_gamma, init_k_CAint: Position in the arrays storing the sparse data for the aerodynamic matrices based on the Piston theory.
probe,Quad4RProbe object: Pointer to the probe.

Methods

`update_CA`(self, long[, long[, double[)	Update sparse vectors for piston-theory aerodynamic damping matrix \(CA\)
`update_KA_beta`(self, long[, long[, double[)	Update sparse vectors for piston-theory aerodynamic matrix \(KA_{\beta}\)
`update_KA_gamma`(self, long[, long[, double[)	Update sparse vectors for piston-theory aerodynamic matrix \(KA_{\gamma}\)
`update_KC0`(self, long[, long[, double[, ...)	Update sparse vectors for linear constitutive stiffness matrix KC0
`update_KG`(self, long[, long[, double[, ...)	Update sparse vectors for geometric stiffness matrix KG
`update_KG_given_stress`(self, double Nxx, ...)	Update sparse vectors for geometric stiffness matrix KG
`update_M`(self, long[, long[, double[, ...)	Update sparse vectors for mass matrix M
`update_area`(self)	Update element area
`update_probe_ue`(self, double[)	Update the local displacement vector of the probe of the element
`update_probe_xe`(self, double[)	Update the 3D coordinates of the probe of the element
`update_rotation_matrix`(self, double[, ...)	Update the rotation matrix of the element

K6ROT#: K6ROT: ‘double’

area#: area: ‘double’

c1#: c1: ‘int’

c2#: c2: ‘int’

c3#: c3: ‘int’

c4#: c4: ‘int’

eid#: eid: ‘int’

init_k_CA#: init_k_CA: ‘int’

init_k_KA_beta#: init_k_KA_beta: ‘int’

init_k_KA_gamma#: init_k_KA_gamma: ‘int’

init_k_KC0#: init_k_KC0: ‘int’

init_k_KG#: init_k_KG: ‘int’

init_k_M#: init_k_M: ‘int’

m11#: m11: ‘double’

m12#: m12: ‘double’

m21#: m21: ‘double’

m22#: m22: ‘double’

n1#: n1: ‘int’

n2#: n2: ‘int’

n3#: n3: ‘int’

n4#: n4: ‘int’

pid#: pid: ‘int’

probe#: probe: pyfe3d.quad4r.Quad4RProbe

r11#: r11: ‘double’

r12#: r12: ‘double’

r13#: r13: ‘double’

r21#: r21: ‘double’

r22#: r22: ‘double’

r23#: r23: ‘double’

r31#: r31: ‘double’

r32#: r32: ‘double’

r33#: r33: ‘double’

update_CA(self, long[::1] CAr, long[::1] CAc, double[::1] CAv) → void#

Update sparse vectors for piston-theory aerodynamic damping matrix \(CA\)

Parameters:

CArnp.array: Array to store row positions of sparse values
CAcnp.array: Array to store column positions of sparse values
CAvnp.array: Array to store sparse values

update_KA_beta(self, long[::1] KA_betar, long[::1] KA_betac, double[::1] KA_betav) → void#

Update sparse vectors for piston-theory aerodynamic matrix \(KA_{\beta}\)

Parameters:

KA_betarnp.array: Array to store row positions of sparse values
KA_betacnp.array: Array to store column positions of sparse values
KA_betavnp.array: Array to store sparse values

update_KA_gamma(self, long[::1] KA_gammar, long[::1] KA_gammac, double[::1] KA_gammav) → void#

Update sparse vectors for piston-theory aerodynamic matrix \(KA_{\gamma}\)

Parameters:

KA_gammarnp.array: Array to store row positions of sparse values
KA_gammacnp.array: Array to store column positions of sparse values
KA_gammavnp.array: Array to store sparse values

update_KC0(self, long[::1] KC0r, long[::1] KC0c, double[::1] KC0v, ShellProp prop, int update_KC0v_only=0, double hgfactor_u=1., double hgfactor_v=1., double hgfactor_w=1., double hgfactor_rx=1., double hgfactor_ry=1.) → void#

Update sparse vectors for linear constitutive stiffness matrix KC0

Reduced integration is used with a single point in the centroid (\(\xi=\eta=0\)) and weight \(w_{ij}=4\), preventing shear locking. Hourglass control is used according to Brockman 1987:

Brockman, R. A., 1987, “Dynamics of the Bilinear Mindlin Plate Element,” Int. J. Numer. Methods Eng., 24(12), pp. 2343–2356. https://onlinelibrary.wiley.com/doi/pdf/10.1002/nme.1620241208

Drilling stiffness is used according to Adam et al. 2013:

Adam, F. M., Mohamed, A. E., and Hassaballa, A. E., 2013, “Degenerated Four Nodes Shell Element with Drilling Degree of Freedom,” IOSR J. Eng., 3(8), pp. 10–20.

Parameters:

KC0rnp.array: Array to store row positions of sparse values
KC0cnp.array: Array to store column positions of sparse values
KC0vnp.array: Array to store sparse values
propShellProp object: Shell property object from where the stiffness and mass attributes are read from.
update_KC0v_onlyint: The default 0 means that the row and column indices KC0r and KC0c should also be updated. Any other value will only update the stiffness matrix values KC0v.
hgfactor_u, hgfactor_v, hgfactor_w, hgfactor_rx, hgfactor_rydouble: These offer the possibility to change the default hourglass stiffnesses for each degree-of-freedom. The default value of these multipliers is 0.1.

update_KG(self, long[::1] KGr, long[::1] KGc, double[::1] KGv, ShellProp prop, int update_KGv_only=0) → void#

Update sparse vectors for geometric stiffness matrix KG

Two-point Gauss-Legendre quadrature is used, which showed more accuracy for linear buckling load predictions.

Before this function is called, the probe Quad4RProbe attribute of the Quad4R object must be updated using update_probe_ue() with the correct pre-buckling displacements; and update_probe_xe() with the node coordinates.

Parameters:

KGrnp.array: Array to store row positions of sparse values
KGcnp.array: Array to store column positions of sparse values
KGvnp.array: Array to store sparse values
propShellProp object: Shell property object from where the stiffness and mass attributes are read from.
update_KGv_onlyint: The default \(0\) means that only \(KGv\) is updated. Any other value will lead to \(KGr\) and \(KGc\) also being updated.

update_KG_given_stress(self, double Nxx, double Nyy, double Nxy, long[::1] KGr, long[::1] KGc, double[::1] KGv, int update_KGv_only=0) → void#

Update sparse vectors for geometric stiffness matrix KG

Note

A constant stress state is assumed within the element, according to the given values of \(N_{xx}, N_{yy}, N_{xy}\).

Two-point Gauss-Legendre quadrature is used, which showed more accuracy for linear buckling load predictions.

Before this function is called, the probe Quad4RProbe attribute of the Quad4R object must be updated using update_probe_xe() with the node coordinates.

Parameters:

KGrnp.array: Array to store row positions of sparse values
KGcnp.array: Array to store column positions of sparse values
KGvnp.array: Array to store sparse values
update_KGv_onlyint: The default \(0\) means that only \(KGv\) is updated. Any other value will lead to \(KGr\) and \(KGc\) also being updated.

update_M(self, long[::1] Mr, long[::1] Mc, double[::1] Mv, ShellProp prop, int mtype=0) → void#

Update sparse vectors for mass matrix M

Different integration schemes are available by means of the mtype parameter.

Parameters:

Mrnp.array: Array to store row positions of sparse values
Mcnp.array: Array to store column positions of sparse values
Mvnp.array: Array to store sparse values
mtypeint, optional: 0 for consistent mass matrix using method from Brockman 1987 1 for reduced integration mass matrix using method from Brockman 1987 2 for lumped mass matrix using method from Brockman 1987

update_area(self) → void#: Update element area

update_probe_ue(self, double[::1] u) → void#

Update the local displacement vector of the probe of the element

Note

The probe attribute object Quad4RProbe is updated, not the element object.

Parameters:

uarray-like: Array with global displacements, for a total of \(M\) nodes in the model, this array will be arranged as: \(u_1, v_1, w_1, {r_x}_1, {r_y}_1, {r_z}_1, u_2, v_2, w_2, {r_x}_2, {r_y}_2, {r_z}_2, ..., u_M, v_M, w_M, {r_x}_M, {r_y}_M, {r_z}_M\).

update_probe_xe(self, double[::1] x) → void#

Update the 3D coordinates of the probe of the element

Note

The probe attribute object Quad4RProbe is updated, not the element object.

Parameters:

xarray-like: Array with global nodal coordinates, for a total of \(M\) nodes in the model, this array will be arranged as: \(x_1, y_1, z_1, x_2, y_2, z_2, ..., x_M, y_M, z_M\).

update_rotation_matrix(self, double[::1] x, double xmati=0., double xmatj=0., double xmatk=0.) → void#

Update the rotation matrix of the element

Attributes r11,r12,r13,r21,r22,r23,r31,r32,r33 are updated, corresponding to the rotation matrix from local to global coordinates.

The element coordinate system is determined, identifying the \(ijk\) components of each axis: \({x_e}_i, {x_e}_j, {x_e}_k\); \({y_e}_i, {y_e}_j, {y_e}_k\); \({z_e}_i, {z_e}_j, {z_e}_k\).

Parameters:

xarray-like: Array with global nodal coordinates, for a total of \(M\) nodes in the model, this array will be arranged as: \(x_1, y_1, z_1, x_2, y_2, z_2, ..., x_M, y_M, z_M\).
xmati, xmatj, xmatk: array-like: Vector in global coordinates representing the material direction. This vector is projected onto the plate element, thus becoming the material direction. The \(ABD\) matrix defining the constitutive behavior of the element is rotated from the material direction to the element \(x\) axis while calculating the stiffness matrices.

class pyfe3d.quad4r.Quad4RData#

Used to allocate memory for the sparse matrices.

Attributes:

KC0_SPARSE_SIZE,int: KC0_SPARSE_SIZE = 576
KG_SPARSE_SIZE,int: KG_SPARSE_SIZE = 144
M_SPARSE_SIZE,int: M_SPARSE_SIZE = 480
KA_BETA_SPARSE_SIZE,int: KA_BETA_SPARSE_SIZE = 144
KA_GAMMA_SPARSE_SIZE,int: KA_GAMMA_SPARSE_SIZE = 144
CA_SPARSE_SIZE,int: CA_SPARSE_SIZE = 144

CA_SPARSE_SIZE#: CA_SPARSE_SIZE: ‘int’

KA_BETA_SPARSE_SIZE#: KA_BETA_SPARSE_SIZE: ‘int’

KA_GAMMA_SPARSE_SIZE#: KA_GAMMA_SPARSE_SIZE: ‘int’

KC0_SPARSE_SIZE#: KC0_SPARSE_SIZE: ‘int’

KG_SPARSE_SIZE#: KG_SPARSE_SIZE: ‘int’

M_SPARSE_SIZE#: M_SPARSE_SIZE: ‘int’

class pyfe3d.quad4r.Quad4RProbe#

Probe used for local coordinates, local displacements, local stiffness, local stresses etc…

The idea behind using a probe is to avoid allocating larger memory buffers per finite element. The memory buffers are allocated per probe, and one probe can be shared amongst many finite elements, with the information being updated and retrieved on demand.

Attributes:

xe,array-like: Array of size NUM_NODES*DOF//2=12 containing the nodal coordinates in the element coordinate system, in the following order \({x_e}_1, {y_e}_1, {z_e}_1, `{x_e}_2, {y_e}_2, {z_e}_2\), \({x_e}_3, {y_e}_3, {z_e}_3\), \({x_e}_4, {y_e}_4, {z_e}_4\).
ue,array-like: Array of size NUM_NODES*DOF=24 containing the element displacements in the following order \({u_e}_1, {v_e}_1, {w_e}_1, {{r_x}_e}_1, {{r_y}_e}_1, {{r_z}_e}_1\), \({u_e}_2, {v_e}_2, {w_e}_2, {{r_x}_e}_2, {{r_y}_e}_2, {{r_z}_e}_2\), \({u_e}_3, {v_e}_3, {w_e}_3, {{r_x}_e}_3, {{r_y}_e}_3, {{r_z}_e}_3\), \({u_e}_4, {v_e}_4, {w_e}_4, {{r_x}_e}_4, {{r_y}_e}_4, {{r_z}_e}_4\).

ue#: ue: ‘double[::1]’

xe#: xe: ‘double[::1]’

Quad4R - Quadrilateral element with reduced integration (pyfe3d.quad4r)#

Quad4R - Quadrilateral element with reduced integration (`pyfe3d.quad4r`)#