Residential College | false |
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 Publication | Nonlinear Dynamics |
ISSN | 0924-090X |
Volume | 111Issue: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. |
Keyword | Transient Stochastic Harmonic Modulated Gaussian White Noise |
DOI | 10.1007/s11071-023-08810-2 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
Funding Project | Applications and investigation of artificial neural network in analyzing the static and dynamic structures |
WOS Research Area | Engineering ; Mechanics |
WOS Subject | Engineering, Mechanical ; Mechanics |
WOS ID | WOS:001047303400001 |
Publisher | Springer |
Scopus ID | 2-s2.0-85167685977 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING Faculty of Science and Technology |
Corresponding Author | Luo, Jie |
Affiliation | Department of Civil and Environmental Engineering, University of Macau, Macau, SAR, People’s Republic of China |
First Author Affilication | University of Macau |
Corresponding Author Affilication | University 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. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment