UM  > 科技學院
PDF solution of stochastic oscillators with even nonlinearity and parametric excitation in velocity
Guo, SS; Er, GK; Iu, VP
2012
Conference NameInternational Conference on Noise and Vibration Engineering (ISMA) / International Conference on Uncertainty in Structural Dynamics (USD)
Source PublicationPROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2012) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2012)
Conference Date2012
Conference PlaceKU Leuven, Dept Mech Engn, Leuven, BELGIUM
Abstract

The stationary probability density function (PDF) solutions of the responses of stochastic dynamic oscillators with even nonlinearity under parametric excitation on velocity are analyzed with exponential-polynomial closure (EPC) method. As there is parametric excitation, adjustable weighting functions are introduced in the EPC procedure for convergent solution when the parametric excitation is strong. The effectiveness of EPC solution procedure is investigated through several oscillators with even nonlinearity subjected to both external excitation and parametric excitation on velocity. Numerical analysis shows that the statistical properties of system responses are much different from those of oscillators with only odd nonlinearity. Numerical results show that the PDFs obtained with the EPC procedure agree well with those from Monte Carlo simulation.

Indexed BySCI
Language英语
WOS Research AreaEngineering ; Mechanics
WOS SubjectEngineering, Mechanical ; Mechanics
WOS IDWOS:000321063905010
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
AffiliationUniv Macau, Dept Civil & Environm Engn, Taipa, Peoples R China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Guo, SS,Er, GK,Iu, VP. PDF solution of stochastic oscillators with even nonlinearity and parametric excitation in velocity[C],2012.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Guo, SS]'s Articles
[Er, GK]'s Articles
[Iu, VP]'s Articles
Baidu academic
Similar articles in Baidu academic
[Guo, SS]'s Articles
[Er, GK]'s Articles
[Iu, VP]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Guo, SS]'s Articles
[Er, GK]'s Articles
[Iu, VP]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

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