DSpace About DSpace Software

DSpace at Transilvania University >
Mechanical Engineering >
COMEC 2021 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2578

Authors: STAN, Petre
STAN, Marinică
Keywords: random vibration
equivalent linearization
spectral density function
power spectral density
Issue Date: Oct-2021
Publisher: Transilvania University Press of Braşov
Citation: http://scholar.google.ro/
Series/Report no.: COMEC 2021;88-92
Abstract: In many practical applications the system of concern has non-linearities, whitch must be taken into account if one is to predict its performance in a realistic way. For such non-linear problems the classical linear theory, which can be found in a number of text books, is not directly applicabile and new techniques are required. If a non-linear mathematical model of the system under consideration is adopted, together with a random process model of the excitation, then is faced with the problem of predicting the system response. A method for estimating the power spectral density of the stationary response of oscillator with a nonlinear restoring force subjected to external wide band noise excitation has been proposed. The efficiency of the method is checked by comparing results with those numerical simulations. The basic idea of the statistical linearization approach is to replace the original nonlinear system by a linear one. This is done in such a way that the difference between the two systems is minimised in some statistical sense. In this way, the parameters of the linearised system are determined.
URI: http://hdl.handle.net/123456789/2578
ISSN: 2457-8541
Appears in Collections:COMEC 2021

Files in This Item:

File Description SizeFormat
88-92.pdf338.61 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback