Time-Domain Simulation of High-Speed Railway Track Irregularity

You Fu Du; Chu Yang Chen; Xiang Na Li

doi:10.4028/www.scientific.net/AMM.587-589.1039

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 587-589Time-Domain Simulation of High-Speed Railway Track...

Time-Domain Simulation of High-Speed Railway Track Irregularity

Abstract:

It was more convenient to describe track irregularity by the spatial frequency.The conventional frequency-domain transfer function can not effectively solve the vibration equation when anlysis of the vibration response to structure of vehicle-track dynamic coupling system, the time domain numerical integration must be used to solve it.The trigonometric series superposition method can be used to convert track irregularity spectrum into time domain frequency power spectral density function, and then turn the simulated irregularity samples into spectral density by the Inverse Fast Fourier Transform (IFFT), which compared with the theoretical spectral density to test the reliability of the sample. The results show that the simulated sample have the same characteristics with the given power spectral density function, which demonstrate the high reliability of this sample and it can be used as the external excitation of the locomotive vehicle system.

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Periodical:

Applied Mechanics and Materials (Volumes 587-589)

Pages:

1039-1042

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.587-589.1039

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Online since:

July 2014

Authors:

You Fu Du, Chu Yang Chen, Xiang Na Li

Keywords:

Power Spectral Density Function, Time-Domain Simulation, Track Irregularity, Trigonometric Series Superposition Method

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References

[1] Luo Lin. Track random disturbance function [J]. China Railway Science, 1982, 13 (1) : 74-110.

Google Scholar

[2] ZHAI Wanming. vehicles orbit coupling dynamics [M] Beijing: China Railway Publishing House, (2002).

Google Scholar

[3] Liu Yinhua. Track Irregularities numerical simulation method [J]. Transportation Engineering, 2006, (3) : 29-33.

Google Scholar

[4] Chen Xianmai, Wang Lan, Tao Xiaxin. Research on the mainline railway track spectrum . [J]. China Railway Science, 2008, (03) : 73-77.

Google Scholar

[5] Chenchun Jun, Li Huachao. Frequency-domain simulation sampling trigonometric series track irregularity signal [J]. Railway Society, 2006, (6) : 38-42.

Google Scholar

[6] Xu Zhaoxin. Random vibration [M] Beijing: Higher Education Press, 1990: 261-262.

Google Scholar

[7] Chen Guo, Zhai Wanming. Railway track irregularity numerical simulation of stochastic process [J]. Of Southwest Jiaotong University, 1999, 34 (2) : 138-141.

Google Scholar