This paper deals with a proposal to evaluate the frequency average based on the use of a Lorentzian function as weighting function. Due to some specific mathematical properties, the Lorentzian function allows evaluating the frequency average of a causal quantity as a result of a single deterministic calculation, without the need for computing the response at several frequencies explicitly. The proposed approach is used to evaluate the averaged input power into one-dimensional rods of which the properties are uncertain or their dynamic behaviour is perturbed by additional randomly distributed masses. For both cases, a relation between the width of the Lorentzian-weighting curve and the statistics of the natural frequencies of the system seems to arise. The accuracy of the prediction is shown by comparing the Lorentzian-weighted frequency average to the mean response obtained from Monte Carlo simulations. After a theoretical introduction to the Lorentzian averaging, numerical applications show the efficiency and the potential of the presented approach applied to the aforementioned cases.

Lorentzian-weighted frequency averaging for the evaluation of the input power into one-dimensional structural dynamic systems / R. D'Amico; K. Vergote; W. Desmet. - ELETTRONICO. - (2012), pp. 893-893. (Intervento presentato al convegno InterNoise 2012 tenutosi a New York nel 19-22/8/2012).

Lorentzian-weighted frequency averaging for the evaluation of the input power into one-dimensional structural dynamic systems

D'AMICO, ROBERTO;
2012

Abstract

This paper deals with a proposal to evaluate the frequency average based on the use of a Lorentzian function as weighting function. Due to some specific mathematical properties, the Lorentzian function allows evaluating the frequency average of a causal quantity as a result of a single deterministic calculation, without the need for computing the response at several frequencies explicitly. The proposed approach is used to evaluate the averaged input power into one-dimensional rods of which the properties are uncertain or their dynamic behaviour is perturbed by additional randomly distributed masses. For both cases, a relation between the width of the Lorentzian-weighting curve and the statistics of the natural frequencies of the system seems to arise. The accuracy of the prediction is shown by comparing the Lorentzian-weighted frequency average to the mean response obtained from Monte Carlo simulations. After a theoretical introduction to the Lorentzian averaging, numerical applications show the efficiency and the potential of the presented approach applied to the aforementioned cases.
2012
InterNoise 2012
New York
19-22/8/2012
R. D'Amico; K. Vergote; W. Desmet
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/779479
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