http://www.cnr.it/ontology/cnr/individuo/prodotto/ID293293
PEDE_M: a new method for the analysis of the stochastic response (Articolo in rivista)
- Type
- Label
- PEDE_M: a new method for the analysis of the stochastic response (Articolo in rivista) (literal)
- Anno
- 2013-01-01T00:00:00+01:00 (literal)
- Alternative label
Sergio De Rosa, Francesco Franco, Elena Ciappi (2013)
PEDE_M: a new method for the analysis of the stochastic response
in Aerotecnica, missili e spazio
(literal)
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- Sergio De Rosa, Francesco Franco, Elena Ciappi (literal)
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- Dipartimento di Ingegneria Industriale Sezione Aerospaziale Università di Napoli Federico II, CNR-INSEAN (literal)
- Titolo
- PEDE_M: a new method for the analysis of the stochastic response (literal)
- Abstract
- The analysis of the response of a stochastic system, through a discrete coordinate representation, can become com-
putationally challenging, even by using a full modal representation; in fact, many dynamic load cases have stochastic
behaviour as the wall pressure
uctuations due to the turbulent boundary layer. In the present work, a new method
is presented and discussed and it is named frequency modulated pseudo equivalent deterministic excitation (PEDEM).
PEDEM is based on the pseudo excitation method (PEM), but it tries to overcome the computational neck-bottles of
this latter by introducing some approximations which are based on the analysis of the eigensolutions of the dynamic load
matrix versus frequency. The solution approach uses three different approximations for the load matrix with reference
to three frequency ranges, named low, mid and high; these approximations derive from the eigenanalysis of the load
matrix. A criterion to identify the three frequency ranges is proposed, too and it is expressed in terms of a reduced
dimensionless frequency. PEDEM is thus applied to a plate response; this test case that contains the most relevant
parameters of a structural problem. The results herein discussed show that the correlation area can play a fundamental
role in discriminating the quality of the approximation. A good level of accuracy and representation of the stochastic
system together with a signicant reduction of the computational costs are obtained if compared to a full stochastic
response (FSR) or PEM solution. (literal)
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