Nonlinear random vibration of the cable modeled as MDOF system and excited by filtered Gaussian white noise

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Status	已發表Published
	Nonlinear random vibration of the cable modeled as MDOF system and excited by filtered Gaussian white noise
	Er, G. K.; Iu, V. P.; Wang, K.
	2015-06-01
Source Publication	ECCOMAS Thematic Conference on Multibody Dynamics 2015
Publication Place	Barcelona
Publisher	International Center for Numerical Methods in Engineering (CIMNE), ISBN: 978-84-944244-0-3.
Abstract	We investigate the nonlinear random vibration of the cables with small sag and excited by colored noise being filtered Gaussian white noise uniformly distributed on the cable. The nonlinear multi-degree-of-freedom systems are formulated based on the revised equation of motion of the geometrically nonlinear cable with Galerkin method. The nonlinear MDOF systems governing the motion of the cable at a given point are formulated and analyzed when the excitation is the filtered Gaussian white noise governed by linear second-order stochastic differential equation. Numerical results obtained with the state-space-split-EPC method, Monte Carlo simulation, and equivalent linearization method are given and compared. The computational efficiency and numerical accuracy of the three methods are also compared.
Keyword	Cable Nonlinear Random vibration Fokker-Planck-Kolmogorov equation High di-mensionality State-space-split method
Language	英語English
The Source to Article	PB_Publication
PUB ID	14830
Document Type	Conference paper
Collection	DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING Faculty of Science and Technology
Corresponding Author	Er, G. K.
Recommended Citation GB/T 7714	Er, G. K.,Iu, V. P.,Wang, K.. Nonlinear random vibration of the cable modeled as MDOF system and excited by filtered Gaussian white noise[C], Barcelona:International Center for Numerical Methods in Engineering (CIMNE), ISBN: 978-84-944244-0-3., 2015.
APA	Er, G. K.., Iu, V. P.., & Wang, K. (2015). Nonlinear random vibration of the cable modeled as MDOF system and excited by filtered Gaussian white noise. ECCOMAS Thematic Conference on Multibody Dynamics 2015.

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