> For the complete documentation index, see [llms.txt](https://nkintc.gitbook.io/brainless/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://nkintc.gitbook.io/brainless/steam/engineering/finite-element-methods/intro-to-finite-elements.md).

# Intro to Finite Elements

$$
F\_i = K\_{ij}u\_j
$$

F and U are both vectors and K is a matrix.&#x20;

### Lecture 1: Linear Algebra and Notation

Finite Element Methods are suitable for nonsquare, or rectangular matrices which is a change from SM, which typically deals with square, and for that matter symmetric, matrices.&#x20;

$$
\boldsymbol{K} = \left\[\begin{array}{cccc}k\_{1,1} & k\_{1,2} & \cdots & k\_{1, m} \k\_{2,1} & k\_{2,2} & \cdots & k\_{2, m} \\\vdots & \vdots & \ddots & \vdots \k\_{n, 1} & k\_{n, 2} & \cdots & k\_{n, m}\end{array}\right]
$$

Vectors are like matrices but has only one value in one of the 2 dimensions so the second index is omitted

$$
{\bf a}
=======

\begin{bmatrix}
a\_1\\
a\_2\\
a\_3\\
\vdots\\
a\_n
\end{bmatrix}
$$

Two special matrices, the zero matrix and the identity matrix. The zero matrix is the equivalent of identically zero in linear algebra. The identity matrix is a square matrix which has 1 along the main diagonal.&#x20;

### Lecture 2: Introduction to the Stiffness Displacement Method

### Lecture 3: Finite Element System of Equations from Direct Stiffness

### Lecture 4: Development of Displacement Based FEM in 1D, Formation of Stiffness Matrix&#x20;

### Lecture 5: Development of Displacement Based FEM in 2D, Constant Strain Triangle and Quadrilateral Elements

### Lecture 6: Practical Considerations in FEM

### Lecture 7: Convergence of FEM Results

### Lecture 8: Higher Order Elements

### Lecture 9: Isoparametric Formulation

### Lecture 10: Numeric Integration in 2D

### Lecture 11: Solution of Linear Algebraic Equations


---

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