Roughness prediction models using pavement surface distresses in different Canadian climatic regions

Author:

Patrick Graeme11,Soliman Haithem11

Affiliation:

1. Department of Civil, Geological & Environmental Engineering, University of Saskatchewan, 3B48 Engineering Building, 57 Campus Drive, Saskatoon, SK S7N 5A9.

Abstract

The correlation between the international roughness index (IRI) and distress is inherent, as roughness is a function of both the changes in elevation of the distress-free pavement surface and the changes in elevation due to existing surface distress. In this way, a relationship between existing surface distress and IRI may be developed. However, the susceptibility of pavement to various types of surface distress is affected by many factors, including climatic conditions. A model that relates pavement surface distress to IRI for Canada needs to account for climatic conditions in different locations. This paper investigates the relationship between pavement surface distresses and IRI for different climatic conditions in Canada using historical data collected at numerous pavement test section locations sourced from the Long-Term Pavement Performance program database. Developed models were calibrated then validated and found to be statistically significant.

Publisher

Canadian Science Publishing

Subject

General Environmental Science,Civil and Structural Engineering

Reference4 articles.

1. Roughness Progression Model for Asphalt Pavements Using Long-Term Pavement Performance Data

2. Development of a model for estimating International Roughness Index from pavement distresses

3. Soliman, H. 2017. Network management needs. [Class handout.] Department of Civil and Geological Engineering, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.

4. Transportation Association of Canada. 2006. Performance measures for road network. Transport Canada.

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