Karamba3D 2.2.0

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1: Introduction

2: Getting Started

3: In Depth Component Reference

Troubleshooting

Appendix

A.2.5: Natural Vibrations, Eigen Modes and Buckling

The Eigen-modes of a structure describe the shapes to which it can be deformed most easily in ascending order. Due to this the **βEigen Modesβ**-component can be used to detect kinematic modes.

An Eigen-mode

$\vec{x}$

is the solution to the matrix-equation $\utilde{C} \cdot \vec{x} = \lambda \cdot \vec{x}$

which is called the special eigen-value problem. Where $\utilde{C}$

is a matrix, $\vec{x}$

a vector and $\lambda$

a-scalar (that is a number) called eigenvalue. The whole thing does not necessarily involve structures. Eigen-modes and eigenvalues are intrinsic properties of a matrix. When applied to structures then $\utilde{C}$

stands for the stiffness-matrix whose number of rows and columns corresponds to the number of degrees of freedom of the structural system. $\vec{x}$

is an eigen-mode as can be computed with Karamba3D.Vibration modes

$\vec{x}$

of structures result from the solution of a general Eigenvalue problem. This has the form $\utilde{C} \cdot \vec{x} = \omega^2 \cdot \utilde{M} \cdot \vec{x}$

. In a structural context$\utilde{M}$

is the mass-matrix which represents the effect of inertia. The scalar$\omega$

can be used to compute the eigenfrequency$f$

of the dynamic system from the equation$f = \omega / 2\pi$

. In the context of structural dynamics eigen-modes are also called normal-modes or vibration-modes.The **βBuckling Modesβ**-component calculates the factor with which the normal forces

$N^{II}$

need to be multiplied in order to cause structural instability. The buckling factors are the eigenvalues of the general Eigenvalue problem $\utilde{C} \cdot \vec{x} + \lambda^2 \cdot \utilde{C_{G}} \cdot \vec{x} = 0$

. Here $\utilde{C}$

is the elastic stiffness matrix and $\utilde{C_{G}}$

the geometric stiffness matrix. The latter captures the influence of normal forces $N^{II}$

on a structureβs deformation response.Previous

A.2.4: Hints on Reducing Computation Time

Next

A.2.6: Approach Used for Cross Section Optimization

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