Pavement performance equations
J P Mahoney, R K Kay, Charles Mayo Jackson
Abstract
J P Mahoney, R K Kay, Charles Mayo Jackson
Abstract
The WSDOT PMS database was used to develop regression equations for three pavement surface types: bituminous surface treatments, asphalt concrete and portland cement concrete. The primary regression equations developed were to predict Pavement Condition Rating (PCR) which is a measure of the pavement surface distress (ranges from 100 (no distress) to below 0 (extensive distress)). Overall, the equations fit the data rather well given the expected variation of pavement performance information. The relative effects of age (time since construction or reconstruction) were illustrated for the three surface types (A).
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The WSDOT PMS database was used to develop regression equations for three pavement surface types: bituminous surface treatments, asphalt concrete and portland cement concrete. The primary regression equations developed were to predict Pavement Condition Rating (PCR) which is a measure of the pavement surface distress (ranges from 100 (no distress) to below 0 (extensive distress)). Overall, the equations fit the data rather well given the expected variation of pavement performance information. The relative effects of age (time since construction or reconstruction) were illustrated for the three surface types (A).
Key concepts: Portland cement, Regression analysis, Asphalt concrete, Regression, Asphalt, Measure (data warehouse), Asphalt pavement, Distress