NONLINEAR MODEL FOR PREDICTING PAVEMENT PERFORMANCE BEFORE AND AFTER REHABILITATION

A life-cycle nonlinear model was developed for the prediction of pavement performance before and after rehabilitation. Pavement serviceability was selected as the performance indicator for the model. Life-cycle serviceability can be estimated as a function of traffic characteristics, pavement structural properties, and environmental conditions. In addition, the model highlights some advantages of relaxing the linear restriction that is usually placed on the specification form of pavement performance models. First, a functional form that better represents the physical deterioration process can be used. Second, estimated parameters are unbiased, owing to a proper specification and the use of sound statistical techniques. Finally, the standard error of the prediction is substantially reduced as compared to that of the equivalent linear model. Accuracy improvements can be capitalized in the pavement management context by timely interventions such as maintenance and rehabilitation activities. The model enables the quantification of the effect of applying an asphalt overlay half way through the life of the pavement as compared with a thicker initial asphalt layer. Determination of an unbiased exponent of the so-called power law was also achieved as well as the determination of equivalent loads for different axle configurations. It should be noted, however, that these parameters are only to be used for determining damage in terms of riding quality indicator, such as roughness or serviceability.

Language

  • English

Media Info

  • Features: Figures; References; Tables;
  • Pagination: 17p

Subject/Index Terms

Filing Info

  • Accession Number: 00972411
  • Record Type: Publication
  • Report/Paper Numbers: 01-152
  • Files: TRIS
  • Created Date: Apr 27 2004 12:00AM