Development of equations to determine the increase in pavement condition due to treatment and the rate of decrease in condition after treatment for a local agency pavement network.

• Main Author: Deshmukh, Maithilee Mukund.
• Other Authors: Smith, Roger E.
• Format: Others
• Language: English
• Published: 2010
• Subjects: rehabilitation treatment; preventive maintenance; pavement; pavement sections; Metropolitan Transportation Commission; pavement condition
• Online Access: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-317

Cost effective maintenance of pavement sections requires timely preventive maintenance and planned rehabilitation treatments. Knowledge of the increase in condition due to application of treatment and the loss of condition after treatment are essential when deciding the maintenance and rehabilitation treatments. Any error in formulating these values can cause significant changes in recommendations provided. Many researchers have developed pavement performance prediction models; however, less research has been done on the impact of treatment actions on the condition of a pavement section after treatments. The objective of the research is to develop equations, using deterministic empirical method, that predict the increase in pavement condition and rate of decrease in pavement condition after treatment actions with respect to pavement condition just before the treatment. The equations are developed for different treatments and different functional class, and surface type combination to quantify the impact of the treatment for the use in pavement management system. These equations can be used to quantify the effects of different treatments for the use in pavement management system. Numerical illustration is presented using the data from the Metropolitan Transportation Commission-Pavement Management System software developed by the Metropolitan Transportation Commission (MTC) located in Oakland, California. A relation is observed between increase in pavement condition and pavement condition just before treatment for different treatments and different functional class and surface type combination. Hence the equations to determine the trend in increase in pavement condition for different treatments and different functional class and surface type combination are developed. For rate of decrease in pavement condition, due to large variability in the data the loss of pavement condition per year could not be related to pavement condition just before treatment. Hence the equations to determine the trend in loss in pavement condition after treatment could not be developed. The developed equations can be efficiently used to predict increase in pavement condition due to application of the treatment and the loss of pavement condition after treatment.