Periodogram-Based Numerical Analysis on Pavement Stochastic Roughness

To attain time domain figures of uneven pavement, this paper adopts periodogram method and sampling rule in time domain to simulate time domain figures for different grades of uneven roads with the use of stochastic process phase distribution and frequency domain power spectral density about pavement stochastic roughness. Directed against the accuracy of this simulation method, the response power spectral densities of vehicles are gained by inputting the data of time domain and initial frequency domain separately. Their comparison result shows that the simulating mode is reliable. Through the comparison between internal roughness index (IRI) and pavement power spectral density (PSD), the correlation of these two indexes has been deduced on the basis of simulated time domain figures. The reliability of this relational expression is checked by measured data of pavement roughness height and it’s proved to be dependable.

• Record URL:
  https://doi.org/10.1061/9780784480014.013
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784480014
• Supplemental Notes:
  • © 2016 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • He, Rui
  • Wu, Shuhua
  • Wu, Wenfei
• Conference:
  • Fourth Geo-China International Conference
  • Location: Shandong , China
  • Date: 2016-7-25 to 2016-7-27
• Publication Date: 2016

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 101-107
• Monograph Title: Geo-China 2016: Advances in Pavement Engineering and Ground Improvement

Subject/Index Terms

• TRT Terms: Frequency domain analysis; Roughness; Stochastic processes; Surface course (Pavements); Time domain analysis
• Identifier Terms: International Roughness Index
• Subject Areas: Highways; Pavements;

Filing Info

• Accession Number: 01609646
• Record Type: Publication
• ISBN: 9780784480014
• Files: TRIS, ASCE
• Created Date: Jul 21 2016 3:01PM