National Concrete Pavement Technology Center

Project description

The main objective of this research is to develop a procedure for optimized mix design of concrete pavement. A database of representative mix designs, relevant properties of concrete, and expected field performance of concrete pavement used in Florida will be developed. Machine learning algorithms will be used to analyze data and predict critical properties of concrete that are directly related to pavement performance based on its mix design. Machine learning algorithms will also be used to determine the relative importance of mix design components on performance so that mix-designers will understand how to effectively make adjustments to improve mix design performance. It should be noted that mix design numbers will not be provided and other identifying properties shall not be published to protect proprietary information. Further, the information ultimately provided by Florida Department of Transportation (FDOT) to the University is considered proprietary information thar must be treated as confidential and exempt from disclosure under Florida Public Records Law.