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Validation of TxDOT Flexible Pavement Skid Prediction Model

Project Summary

Pavement skid resistance is primarily a function of the surface texture, which includes both microtexture and macrotexture. In the research project 0-5627, the research team developed a method to predict asphalt pavement skid resistance based on inputs that describe aggregate texture before and after polishing, gradation of asphalt mixture, and traffic. Building upon the developments conducted in project 0-5627, the research team will investigate and examine a large number of asphalt mixtures and surface treatment test sections. The test sections will be periodically tested to measure their texture and skid resistance. Aggregate texture values before or after polishing will be measured or collected from existing database. Using the test results and incorporating appropriate traffic data, the research team will validate and modify the skid prediction model and expand the model to include skid prediction for surface treatment. Training materials on the application of the new model will be prepared at the conclusion of this project.

This skid prediction capability will allow TxDOT to redesign their current method of achieving pavement friction. In the future, TxDOT will specify the level of pavement skid needed to meet the traffic demand of individual pavement sections instead of a surrogate surface aggregate classification. Aggregate texture can be incorporated into the Aggregate Quality Monitoring program and published in the Bituminous Rated Source Quality Catalog. The contractor can then use the skid prediction model to select combinations of aggregate sources and mixture gradations suitable to achieve the required skid number for that particular project. This procedure will work for both hot mix asphalt concrete and surface treatments.

Project Number

0-6746-01

Status

Completed

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