1.3 The system equations of a frame

The total number of unknowns $N_{totl}$ in this problem is decomposed as follows:


$\displaystyle N_{totl} = N_{est} + N_{react}$     (1.53)

To solve this boundary value problem, it is necessary but not sufficient that the number of linear equations $N_{eqs}$ in a system of equations

$\displaystyle \mathbf{spA}{\cdot}\mathbf{Z} = \mathbf{B}
<tex2html_comment_mark>$     (1.54)
be

$\displaystyle N_{eqs} = N_{totl}, \hspace*{8pt}\mathrm{and} \hspace*{8pt} \mathrm{rank}\left(spA\right) = N_{totl}$     (1.55)

Both external and internal boundary conditions (Fig. 1.13) of a system (frame/beam) should be well posed.

The kinematic and static boundary conditions of the external support shown in Fig. (1.10) and these of the internal support shown in Fig. (1.12) should be well posed.

The kinematic and static boundary conditions of the internal support are divided into

Figure 1.13: Structure of the system of boundary value problem equations
\includegraphics[width=120mm]{joonised/pohivorrandiden.eps}

It is convenien to use a sparse representation of equations (1.54) (see section A.1).

Numerical difficulties may occur when the transfer matrix manipulation involves differences of large numbers, which can lead to inaccuracies in computations [PW94], [PL63]. In the state vector $\mathbf{Z}$ of equations (1.47) the displacements and rotations are small in comparison with the contact forces and moments. We will scale (multiply) the displacements and rotations by $i_{0}= EI_{basic}/l_{basic}$ (as a scaling multiplier for the displacements, basic stiffness is taken).

In the sparse matrix $\mathbf{spA}$ of Eq. (1.54), the basic equations of the system are described in local coordinates. The compatible equations of displacements, joint equilibrium equations, side conditions equations and external support reactions of the system of Eq. (1.54) are described in global coordinates.

The following direction cosines allow us to transform vectors from local to global coordinates. The direction cosines of a vector are the cosines of the angles between the vector and the coordinate axes (see Fig. 1.14):

$\displaystyle \cos \alpha = \frac{\Delta x}{l}, \qquad
\cos \beta = \frac{\Delta z}{l}$     (1.56)
Here,

$\displaystyle \Delta x = x_{L} - x_{A}, \quad \Delta z = z_{L} - z_{A}, \quad l = \sqrt{\left(\Delta x\right)^{2} + \left(\Delta z\right)^{2}}$     (1.57)
and $x_{A}$, $z_{A}$, $x_{L}$, $z_{L}$ are the start point and the end point coordinates (Fig. 1.14).

Figure 1.14: Angles between the vector and the coordinate axes
\includegraphics[width=75mm]{joonised/suunacosen.eps}

The two-dimensional transformation matrix $\mathbf{T_{2\times 2}}$ (considered in section A.2) transforms the vector from local to global coordinates.

$\displaystyle \mathbf{T_{2\times 2}} =
\left[\begin{array}{cc}
\cos\alpha & - \cos\beta \\
\cos\beta & \cos\alpha
\end{array} \right]$     (1.58)

The three-dimensional transformation matrix $\mathbf{T_{3\times 3}}$ (considered in section A.2) transforms the vector from local to global coordinates.
$\displaystyle \mathbf{T_{3\times 3}} =
\left[\begin{array}{ccc}
\cos\alpha & - \cos\beta & 0 \\
\cos\beta & \cos\alpha & 0 \\
0 & 0 & 1
\end{array} \right]$     (1.59)

Note that it is possible to insert the transformation matrices of Eqs. (A.25) and (1.59) into the sparse matrix of Eq. (1.54) with the function spA=spInsert BtoA(spA,M,N,spTi) (p. [*]).

andres
2014-09-09