吉林大学学报(工学版) ›› 2010, Vol. 40 ›› Issue (04): 991-0994.

• paper • Previous Articles     Next Articles

Application of fractal model in road surface roughness reconstruction

WANG Ruo-ping1,LI Cheng-bin1,ZHANG Bu-yang2, WANG Guo-lin1   

  1. 1.College of Automotive and Traffic Engineering,Jiangsu University,Zhenjiang 212013,China；2.College of Automative Engineering,Jilin University,Changchun 130022,China
  • Received:2009-06-24 Online:2010-07-01 Published:2010-07-01

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Abstract:

Provided that the road surface roughness(RSR) presents the fractal behavior such as the selfsimilarity, the scaling invariance, etc.,a RSR reconstruction model was built using the ideal fractal curve to simulate the RSR. The measured RSR fractal dimension was calculated by the power spectrum method. The average power spectrum character of the ideal fractal curve was analyzed and its relationship with the RSR power spectrum was established. Based on it a method was suggested to describe the statistical characteristics of the RSR using two parameters, i.e.the fractal dimension and the RSR coefficient, and the roughnesses of the class A and C standard roads surface and the measured road surface were reconstructed. The comparison between their power spectrums shows that the proposed fractal model for the RSR appeass sufficiently accurate.

Key words: road engineering, road surface roughness reconstruction, fractal behavior, ideal fractal curve, power spectrum comparison

CLC Number: 

  • U416
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