Advanced systems of pavement design and management require methods of predicting pavement performance. In particular, long-range highway costs and user benefits can be established only if the future serviceability of pavements is known. Such cost-benefit calculations are important to highway management for programming constrution and resurfacing priorities, for finding optimal solutions in design, and for setting administrative policies. Thus, mathematical models are needed by which pavement performance can be predicted as a function of age. This paper suggests that pavement performance models can be developed for any geographic and environmental conditions. The approach has been formulated so that local experience gained from successful highway pavements can be used. In principle, pavement performance is affected by two major distress mechanisms: traffic loads and enviromental conditions. Pavement distress due to traffic was modeled by using ASSHO Road Test performance data; successful thickness designs in Ontario were analyzed by using elastic layer theory. This analysis and AASHO Road Test data led to the development of a model primarily reflecting traffic deterioration. Distress due to environment was modeled by using Brampton Test Road data. The resulting submodels for the two distress types were combined to give a final model that fairly accurately predicted the performance of Brampton Test Road sections. /Author/

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 15-28
  • Monograph Title: Pavement design, performance and rehabilitation
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00139559
  • Record Type: Publication
  • ISBN: 0309024854
  • Files: TRIS, TRB
  • Created Date: Sep 16 1976 12:00AM