MPC Researchers Aim for Accuracy With Pavement Design Shortcut
Posted: Sep 17, 2024
Researchers at the University of Utah are finding a faster, easier way to design pavements that are more robust and that optimize available resources. Current tests for dynamic modulus of asphalt (a measure of elasticity) are time-consuming and labor-intensive. Consequently, pavements are often designed using average or default material properties that may not represent those of materials actually used in construction. The research work allows for the prediction of the dynamic modulus of asphalt mixtures by using data obtained from the IDEAL CT tests (tests to determine the cracking potential of asphalt mixtures). While the predictions are not perfect, they are an attractive alternative because of the shorter time and effort required to run the IDEAL CT tests compared with those required to test for dynamic modulus. The data can be obtained in approximately one day. Using project-specific material properties allows for more robust pavement designs and the ability to optimize resources based on realistic life-cycle analysis.
Researchers at the University of Utah are finding a faster, easier way to design pavements that are more robust and that optimize available resources. Current tests for dynamic modulus of asphalt (a measure of elasticity) are time-consuming and labor-intensive. Consequently, pavements are often designed using average or default material properties that may not represent those of materials actually used in construction. The research work allows for the prediction of the dynamic modulus of asphalt mixtures by using data obtained from the IDEAL CT tests (tests to determine the cracking potential of asphalt mixtures). While the predictions are not perfect, they are an attractive alternative because of the shorter time and effort required to run the IDEAL CT tests compared with those required to test for dynamic modulus. The data can be obtained in approximately one day. Using project-specific material properties allows for more robust pavement designs and the ability to optimize resources based on realistic life-cycle analysis.