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Stationary probabilistic solutions of the cables with small sag and modeled as MDOF systems excited by Gaussian white noise
Er, G. K.; Iu, V. P.; Wang, K.; Guo, S. S.
2016-07-01
Source PublicationNonlinear Dynamics
ISSN0924-090X(print) 1573-269X(online)
Pages1887-1899
Abstract

Nonlinear random vibration of the cables with small sag-to-span ratio and excited by in-plane transverse uniformly distributed Gaussian white noise is studied by a nonlinear multi-degree-of-freedom system which is formulated with Galerkin's method. The stationary probabilistic solutions of the nonlinear system are analyzed with the state-space-split method in conjunction with the exponential polynomial closure method. Effectiveness of this approach about the cable random vibration is examined through comparison with Monte Carlo simulation and equivalent linearization method. The probabilistic solutions of the cable random vibrations are also studied by modeling the cable as single-degree-of-freedom system and multi-degree-of-freedom system.

KeywordCable Multi-degree-of-freedom Nonlinear Random Vibration Fokker-planck-kolmogorov Equation State-space-split Method Exponential Polynomial Closure Method.
DOI10.1007/s11071-016-2802-5
Language英語English
WOS IDWOS:000379529600037
The Source to ArticlePB_Publication
Scopus ID2-s2.0-84964528980
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
Faculty of Science and Technology
Corresponding AuthorEr, G. K.
Recommended Citation
GB/T 7714
Er, G. K.,Iu, V. P.,Wang, K.,et al. Stationary probabilistic solutions of the cables with small sag and modeled as MDOF systems excited by Gaussian white noise[J]. Nonlinear Dynamics, 2016, 1887-1899.
APA Er, G. K.., Iu, V. P.., Wang, K.., & Guo, S. S. (2016). Stationary probabilistic solutions of the cables with small sag and modeled as MDOF systems excited by Gaussian white noise. Nonlinear Dynamics, 1887-1899.
MLA Er, G. K.,et al."Stationary probabilistic solutions of the cables with small sag and modeled as MDOF systems excited by Gaussian white noise".Nonlinear Dynamics (2016):1887-1899.
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