[1] Niu Kaijian, Li Chang,. Simulation of pavement roughness based on time domain model [J]. Journal of Southeast University (English Edition), 2010, 26 (3): 475-479. [doi:10.3969/j.issn.1003-7985.2010.03.021]

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Simulation of pavement roughness based on time domain model()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

26

Issue:

2010 3

Page:

475-479

Research Field:

Traffic and Transportation Engineering

Publishing date:

2010-09-30

Info

Title:

Simulation of pavement roughness based on time domain model

Author(s):

Niu Kaijian;  Li Chang

School of Transportation, Southeast University, Nanjing 210096, China

Keywords:

pavement roughness;  stochastic sinusoidal wave;  stochastic process;  power spectral density(PSD)coefficient;  time domain;  nominal roughness index(NRI)

PACS:

U416.2

DOI:

10.3969/j.issn.1003-7985.2010.03.021

Abstract:

In order to describe pavement roughness more intuitively and effectively, a method of pavement roughness simulation, i.e., the stochastic sinusoidal wave, is introduced. The method is based on the primary idea that pavement roughness is denoted as the sum of numerous sines or cosines with stochastic phases, and uses the discrete spectrum to approach the target stochastic process. It is a discrete numerical method used to simulate pavement roughness. According to a given pavement power spectral density(PSD)coefficient, under the condition that the character of displacement frequency based on the time domain model is in accordance with the given pavement surface spectrum, the pavement roughness is optimized to stochastic equivalent vibrations by computer simulation, and the curves that describe pavement roughness under each grade are obtained. The results show that the stochastic sinusoidal wave is suitable for simulation of measured pavement surface spectra based on the time domain model. The method of the stochastic sinusoidal wave is important to the research on vehicle ride comfort due to its rigorous mathematical derivation, extensive application range and intuitive simulation curve. Finally, a roughness index defined as the nominal roughness index(NRI)is introduced, and it has correlation with the PSD coefficient.

References:

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Memo

Memo:

Biographies: Niu Kaijian(1985—), male, graduate; Li Chang(corresponding author), male, doctor, associate professor, lichang_-seu@163.com.
Citation: Niu Kaijian, Li Chang.Simulation of pavement roughness based on time domain model[J].Journal of Southeast University(English Edition), 2010, 26(3):475-479.

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