Use of Time-Temperature Superposition Principle to Create Pavement Performance Mastercurves and Relate PCI and IRI.

The international roughness index (IRI) is one of the most popular index to measure pavement roughness. State agencies and cities with plenty resources often collect IRI and pavement distresses every year or every other year, but some other with less resources will collect this information every three to five years. Collecting IRI is much more affordable than collecting pavement distresses. With this in mind, the objective of this paper was to establish a relationship between IRI and the pavement condition index (PCI) using pavement deterioration models for both PCI and IRI based on the time-temperature superposition principle, and then combine both models to establish this relationship. Additionally this study was used to establish threshold limits for IRI measurements that can be used as a general reference of pavement condition. Data from the Long Term Pavement Performance InfoPave was used to perform the analysis for three network samples from Arizona, California and Wisconsin. This analysis only included flexible pavements. The results from Arizona, California and Wisconsin showed a good relationship between IRI and PCI using the proposed approach with coefficient of determination ranging from 0.71 to 0.85. Furthermore, the analysis showed that the change in IRI over time can be related to the change in PCI over time. The general thresholds developed in this study applies to the sections evaluated but the approach can be used to set limits for other networks.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 17p

Subject/Index Terms

Filing Info

  • Accession Number: 01763748
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-02904
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:10AM