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Damping Optimization for Linear Vibrating Systems Using Dimension Reduction (CROSBI ID 578141)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Benner, Peter ; Tomljanović, Zoran ; Truhar Ninoslav Damping Optimization for Linear Vibrating Systems Using Dimension Reduction // The 10th International Conference on Vibration Problems ICOVP 2011, Springer Proceedings in Physics, Vol. 139, Springer-Verlag, 2011. / Náprstek, J. ; Horáček, J. ; Okrouhlík, M. et al. (ur.). Prag: Springer, 2011. str. 297-305

Podaci o odgovornosti

Benner, Peter ; Tomljanović, Zoran ; Truhar Ninoslav

engleski

Damping Optimization for Linear Vibrating Systems Using Dimension Reduction

We consider a mathematical model of a linear vibrational system described by the second-order system of differential equations $M \ddot{; ; x}; ; + D \dot{; ; x}; ; + Kx = 0$, where M, K and D are positive deffinite matrices, called mass, stiffness and damping, respectively. We are interested in finding an optimal damping matrix which will damp a certain part of the undamped eigenfrequencies. For this we use a minimization criterion which minimizes the average total energy of the system. This is equivalent to the minimization of the trace of the solution of a corresponding Lyapunov equation. In this paper we consider an algorithm for the efficient optimization of the damping positions based on dimension reduction techniques. Numerical results illustrate the efficiency of our approach.

Damping optimization; Optimal dampers' positions; Lyapunov equation;

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Podaci o prilogu

297-305.

2011.

objavljeno

Podaci o matičnoj publikaciji

The 10th International Conference on Vibration Problems ICOVP 2011, Springer Proceedings in Physics, Vol. 139, Springer-Verlag, 2011.

Náprstek, J. ; Horáček, J. ; Okrouhlík, M. ; Marvalová, B. ; Verhulst, F. ; Sawicki, J.T.

Prag: Springer

978-94-007-2068-8

Podaci o skupu

The 10th International Conference on Vibration Problems

predavanje

05.09.2011-08.09.2011

Prag, Češka Republika

Povezanost rada

Matematika