Residential Collegefalse
Status已發表Published
Transient probabilistic solution of stochastic oscillator under combined harmonic and modulated Gaussian white noise stimulations
Luo, Jie; Er, Guo-Kang; Iu, Vai Pan; Lam, Chi Chiu
2023-08-11
Source PublicationNonlinear Dynamics
ISSN0924-090X
Volume111Issue:19Pages:17709 - 17723
Abstract

An advanced procedure is introduced in this study for determining the transient probability density function (PDF) of the stochastic oscillator with various nonlinearity under combined harmonic and modulated random stimulations, which is an enhancement of the exponential-polynomial-closure (EPC) methodology. An evolutionary exponential polynomial function with time-dependent undefined parameters is selected to represent the transient probabilistic solution. A bunch of ordinary differential equations can be formulated by integrating the weighted residual error where the weight functions are specially selected as a number of independent evolutionary base functions that span the Rn space. The undefined parameters can be fixed by utilizing numerical approaches to solve those ordinary differential equations. By comparing the results with those acquired by Monte Carlo simulation (MCS), four numerical cases demonstrate that the transient PDF solutions of the nonlinear oscillators can be acquired effectively and efficiently, especially in the probabilistic tails which play a key role in reliability analysis. In addition, the results indicate that the transient responses of the stochastic oscillators are of nonzero means due to the influence of harmonic stimulation. Meanwhile, the transient PDFs are also asymmetrical at the nonzero means resulted by the coupled impacts of the combined harmonic and modulated random stimulations. Moreover, utilizing the advanced procedure can lead to a significant decrease in computational effort without sacrificing the solution accuracy in contrast to MCS.

KeywordTransient Stochastic Harmonic Modulated Gaussian White Noise
DOI10.1007/s11071-023-08810-2
URLView the original
Indexed BySCIE
Language英語English
Funding ProjectApplications and investigation of artificial neural network in analyzing the static and dynamic structures
WOS Research AreaEngineering ; Mechanics
WOS SubjectEngineering, Mechanical ; Mechanics
WOS IDWOS:001047303400001
PublisherSpringer
Scopus ID2-s2.0-85167685977
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
Faculty of Science and Technology
Corresponding AuthorLuo, Jie
AffiliationDepartment of Civil and Environmental Engineering, University of Macau, Macau, SAR, People’s Republic of China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Luo, Jie,Er, Guo-Kang,Iu, Vai Pan,et al. Transient probabilistic solution of stochastic oscillator under combined harmonic and modulated Gaussian white noise stimulations[J]. Nonlinear Dynamics, 2023, 111(19), 17709 - 17723.
APA Luo, Jie., Er, Guo-Kang., Iu, Vai Pan., & Lam, Chi Chiu (2023). Transient probabilistic solution of stochastic oscillator under combined harmonic and modulated Gaussian white noise stimulations. Nonlinear Dynamics, 111(19), 17709 - 17723.
MLA Luo, Jie,et al."Transient probabilistic solution of stochastic oscillator under combined harmonic and modulated Gaussian white noise stimulations".Nonlinear Dynamics 111.19(2023):17709 - 17723.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Luo, Jie]'s Articles
[Er, Guo-Kang]'s Articles
[Iu, Vai Pan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Luo, Jie]'s Articles
[Er, Guo-Kang]'s Articles
[Iu, Vai Pan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Luo, Jie]'s Articles
[Er, Guo-Kang]'s Articles
[Iu, Vai Pan]'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.