AN OPTIMAL DESIGN METHOD TO REHABILITATE LOW-VOLUME ASPHALTIC ROADS

A long-term pavement monitoring program that has been ongoing in Brazil for more than 10 years allowed the development of performance prediction models for as-constructed and rehabilitated pavements. The models, developed through multiple-regression analysis, can be used to predict pavement roughness, ravelling, and cracking as a function of significant variables that define pavement structure, environment, and traffic loads. These models are used to develop a design method that selects the optimal rehabilitation strategy over a defined analysis period. The design approach has been implemented as a microcomputer program that generates alternative strategies, predicts the performance of each strategy in comparison with allowable criteria, and finally produces a set of the five best, feasible strategies, according to the predicted life-cycle rehabilitation cost. This design method can be used as a project-level pavement management tool that is compatible with the needs of low-volume road links in tropical and subtropical environments. In addition to producing optimum designs, it can also be used effectively to conduct a sensitivity analysis of the effects of critical input variables.

Media Info

  • Features: Figures; References; Tables;
  • Pagination: p. 244-251
  • Monograph Title: FOURTH INTERNATIONAL CONFERENCE ON LOW-VOLUME ROADS. VOLUME 2
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00473121
  • Record Type: Publication
  • ISBN: 0309044545
  • Files: TRIS, TRB
  • Created Date: Sep 30 1988 12:00AM