The lin3DTetra4 class creates a linearized three-dimensional tetrahedron element with four-nodes. Each node has three degrees-of-freedom, and each degree-of-freedom represents a translation in the X-, Y- and Z-directions. The Figure provides a simple representation of this element in which the local coordinates are represented by the r-, s-, and t-axis, and (1), (2), (3), and (4) represent the nodes of the element respectively. The element mass, damping and stiffness matrices, as well as internal force vector are computed in local-coordinate and then transformed into global coordinates. Close form solution for these integrals are used.
The coordinates of any point \(x_1,x_2,x_3\) in the element is written in terms of the shape functions \(\textbf{N}_\textrm{i}(r,s,t)\) in the reference coordinates and the values of the i-th element nodal coordinates \(x^\textrm{(i)}_\textrm{j}\) as follows
\[ x_\textrm{j}^\textrm{e}(r,s,t) = \sum_\textrm{i = 1}^{\textrm{N}_\textrm{n}} x^\textrm{(i)}_\textrm{j} \, \textbf{N}_\textrm{i}^\textrm{e}(r,s,t) \,. \]
The same transformation is used to evaluate the displacements within the element–i.e., \(u_\textrm{j}^\textrm{e}(r,s,t)\). Then, the displacement field is approximated as
\[ u_\textrm{j}^\textrm{e}(r,s,t) = \sum_\textrm{i = 1}^{\textrm{N}_\textrm{n}} u^\textrm{(i)}_\textrm{j} \, \textbf{N}_\textrm{i}^\textrm{e}(r,s,t) \,. \]
Since both the displacement field and the point element coordinates are approximated using the same shape function, this formulation is commonly known as isoparametric transformation.
Computation of the strain-displacement matrix \(\textbf{B}^\textrm{e}(x_1,x_2,x_3)\) now requires to be mapped into the reference coordinate systems. Application of the chain rule for differentiation to the shape functions yields
\[ \begin{bmatrix} \displaystyle{\frac{\partial N_\textrm{i}}{\partial r,}} \\ \displaystyle{\frac{\partial N_\textrm{i}}{\partial s}} \\ \displaystyle{\frac{\partial N_\textrm{i}}{\partial t}} \end{bmatrix} = \begin{bmatrix} \displaystyle{\frac{\partial x}{\partial r}} & \displaystyle{\frac{\partial y}{\partial r,}} & \displaystyle{\frac{\partial z}{\partial r,}} \\ \displaystyle{\frac{\partial x}{\partial s}} & \displaystyle{\frac{\partial y}{\partial s}} & \displaystyle{\frac{\partial z}{\partial s}} \\ \displaystyle{\frac{\partial x}{\partial t}} & \displaystyle{\frac{\partial y}{\partial t}} & \displaystyle{\frac{\partial z}{\partial t}} \end{bmatrix} \begin{bmatrix} \displaystyle{\frac{\partial N_\textrm{i}}{\partial x}} \\ \displaystyle{\frac{\partial N_\textrm{i}}{\partial y}} \\ \displaystyle{\frac{\partial N_\textrm{i}}{\partial z}} \end{bmatrix} = \mathbf{J} \begin{bmatrix} \displaystyle{\frac{\partial N_\textrm{i}}{\partial x}} \\ \displaystyle{\frac{\partial N_\textrm{i}}{\partial y}} \\ \displaystyle{\frac{\partial N_\textrm{i}}{\partial z}} \end{bmatrix} \;, \text{ with } \mathbf{J} = \begin{bmatrix} x_2 - x_1 & y_2 - y_1 & z_2 - z_1 \\ x_3 - x_1 & y_3 - y_1 & z_3 - z_1 \\ x_4 - x_1 & y_4 - y_1 & z_4 - z_1 \end{bmatrix} \,, \]
where \(\mathbf{J}: \mathbb{R}^3 \to \mathbb{R}^3\) is called the Jacobian matrix. Hence, derivatives in \(\textbf{B}^\textrm{e}(x_1,x_2,x_3)\) can be transformed into \(\textbf{B}^\textrm{e}(r,s,t)\) in the reference coordinates using the Jacobian matrix.
The four shape functions \(\textbf{N}_\textrm{i}^\textrm{e}(r,s,t)\) required to evaluate the strain-displacement matrix \(\textbf{B}^\textrm{e}(r,s,t)\), shape function matrix \(\textbf{N}^\textrm{e}(r, s,t)\), and Jacobian matrix \(\textbf{J}^\textrm{e}(r,s,t)\) are:
\[ \textbf{N}_\textrm{1}^\textrm{e}(r, s, t ) = 1 - r - s - t \,, \\ \textbf{N}_\textrm{2}^\textrm{e}(r, s, t ) = r \quad\quad\quad\quad\;\;\; \,, \\ \textbf{N}_\textrm{3}^\textrm{e}(r, s, t ) = s \quad\quad\quad\quad\;\;\; \,, \\ \textbf{N}_\textrm{4}^\textrm{e}(r, s, t ) = t \quad\quad\quad\quad\;\;\; \,. \]
The isoparametric transformation has the advantage that every element is treated in the same manner. In this regard, mass and stiffness matrices as well as force vector are evaluated using the same reference coordinates as follows
\[ \textbf{M}^\textrm{e} = \int_{0}^1 \int_{0}^{1 - r} \int_{0}^{1 - r - s} {\textbf{N}^\textrm{e}} (r, s,t)^\top \, \rho^\textrm{e} \, \textbf{N}^\textrm{e}(r, s,t) \det \mathbf{J}^\textrm{e} \, dt \, ds \, dr \,, \\ \textbf{K}^\textrm{e} = \int_{0}^1 \int_{0}^{1 - r} \int_{0}^{1 - r - s} {\textbf{B}^\textrm{e}} (r, s,t)^\top \, \mathbb{C}^\textrm{e} \, \textbf{B}^\textrm{e}(r, s,t) \det \mathbf{J}^\textrm{e} \, dt \, ds \, dr \,, \\ \textbf{F}^\textrm{e} = \int_{0}^1 \int_{0}^{1 - r} \int_{0}^{1 - r - s} {\textbf{N}^\textrm{e}} (r, s,t)^\top \, \textbf{F}_b^\textrm{e} \det \mathbf{J}^\textrm{e} \, dt \, ds \, dr \,, \]
where \(\rho^\textrm{e}\) is the element density, \(\textbf{N}^\textrm{e}\) is the shape function matrix, \(\mathbb{C}^\textrm{e}\) is the material constitutive law, and \(\textbf{B}^\textrm{e}(r, s)\) is the well-known linear (material) strain-displacement matrix. Note that \(\textbf{M}^\textrm{e}, \textbf{K}^\textrm{e} \in \mathbb{R}^{\textrm{N}_\textrm{dof}^\textrm{e} \times \textrm{N}_\textrm{dof}^\textrm{e}}\) with \(\textrm{N}_\textrm{dof}^\textrm{e} = 12\) in this case.
REFERENCE:
The python Pre-Analysis in the 01-Pre_Process/Method/Attach.py file provides with an interface to populate the Entities
dictionary. This file contains several functions to populate specific fields. For example, to create a lin3DTetra4, using json format, use:
addElement(tag, name='lin3DTetra4', conn, attributes):
Example
A LIN3DTETRA4 element can be defined using the python interface as follows:
SVL.addElement(tag=1, name='lin3DTetra4', conn=[1,2,3,4], attributes={'np': 8, 'rule': 'Gauss', 'material': 1})
Application
Please refer to the E08-ST-Lin_Plate_Hole_Tetra4.py file located at 03-Validations/01-Debugging/ to see an example on how to define a lin3DTetra4 element.
On the contrary, the 01-Pre_Process/Method/Remove.py file provides with an interface to depopulate the Entities
dictionary. For example, to remove an already define Element, use:
The C++ Run-Analysis in the 02-Run_Process/04-Elements/09-Tetrahedron/lin3DTetra4.cpp file provides the class implementation. A lin3DTetra4 element is created using the built-in json parse-structure provided in the Driver.hpp. A lin3DTetra4 is defined inside the "Elements" json field indicating its "Tag" as follows,
{ "Elements": { "Tag": { "name" : "LIN3DTETRA4", "conn" : [ ], "attributes": { "np": int, "rule": str, "material": int } } } }
Variable | Description |
---|---|
Tag | Unique element object identifier. |
conn | The element connectivity node array. |
np | Number of quadrature-points used for the integration. |
rule | The quadrature integration name rule =GAUSS, LOBATTO. |
material | The biaxial material identifier. |
np
= 1,4,11,16 are supported. A LIN3DTETRA4 element with 8 integration points between nodes 1, 2, 3, and 4 made of material 0 is constructed as:
{ "Elements": { "1": { "name" : "LIN3DTETRA4", "conn" : [1,2,3,4], "attributes": { "np": 8, "rule": "Gauss", "material": 0 } } } }