Orthogonal Expansion Method of Random Processes for Fluctuating Pressure of Water Flow

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Abstract:

Combining with its auto-correlation function, the stochastic process of water flows fluctuating pressure is decomposed on the trigonometric bases by employing an expansion method based on normalized orthogonal bases which is prescribed, and thus establish an incentive model for the random dynamic response analysis of structures vibrated by water flows fluctuating pressure. By using the model, main probabilistic characters of the flows stochastic process are captured with only a few random variables, and therefore laid the foundation for further random response and reliability analysis from the point of probability density evolution. By using it in an instance, the validity of the model is tested from the aspect of second order statistics such as sampling ensemble power spectrum and sample mean square error. The effects of simulation duration and expansion numbers needed on the simulations efficiency and accuracy are also discussed.

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619-624

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October 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Chowdhury, Mostafiz. R, Hall, Robert. L . 1999. Dynamic performance evaluation of gate vibration. Journal of structural engineering, 125(4), 445-452. [doi: 10. 1061 /(ASCE) 0733-9445 (1999)125: 4(445)].

DOI: 10.1061/(asce)0733-9445(1999)125:4(445)

Google Scholar

[2] Genhua Yan et al. 2012. Study of flow-Induced vibration for the high-head and large dimension gate. Applied Mechanics and Materials, Volumes 170-173, 2027-2036. [doi: 10. 4028 /www. scientific. net/AMM. 170 -173. 2027].

DOI: 10.4028/www.scientific.net/amm.170-173.2027

Google Scholar

[3] Jie Li, Zhangjun Liu. 2006. Expansion method of stochastic processes based on normalized orthogonal bases. Journal of Tongji University(Natural Science), 34(10): 1279-1283. (in Chinese).

Google Scholar

[4] Jie Li. 1996. Stochastic structural system —analysis and modeling. Beijing : Science Press. (in Chinese).

Google Scholar

[5] Jie Li, Jianbing Chen et al. 2012. Advances of the Probability Density Evolution Method for Nonlinear Stochastic Systems. Probabilistic Engineering Mechanics, Volume 28, 132-142. [doi: org/10. 1016j. probengmech. 2011. 08. 019].

DOI: 10.1016/j.probengmech.2011.08.019

Google Scholar

[6] Zhangjun Liu, Jie Li. 2008. Orthogonal expansion of stochastic processes for wind velocity. Journal of Vibration Engineering, 21(1): 96-101. (in Chinese).

Google Scholar

[7] Xiaopeng Sun. 1991. Stochastic simulation of flow's fluctuating pressure. Journal of Hydraulic Engineering, (5): 52-56. (in Chinese).

Google Scholar

[8] Shiwu Yan. 1981. Spectral analysis and characteristics of spectrum for pressure fluctuations in fluid flow. Hydro-Science and Engineering, (3): 17-33. (in Chinese).

Google Scholar