Performance Engineered Mix-Design/Specification Thresholds and Performance Prediction Methodology for Concrete Pavement

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 It should be noted that mix design numbers will not be provided and other identifying properties shall not be published to protect proprietary information.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.

Language

• English

Project

• Status: Active
• Funding: $239,907.00
• Contract Numbers:

  BED31 977-40

• Sponsor Organizations:

  Florida Department of Transportation

  Research Center
  605 Suwannee Street MS-30
  Tallahassee, FL  United States  32399-0450
• Managing Organizations:

  Florida Department of Transportation

  Research Center
  605 Suwannee Street MS-30
  Tallahassee, FL  United States  32399-0450
• Project Managers:

  Greene, James

• Performing Organizations:

  University of Florida, Gainesville

  219 Grinter Hall
  Gainesville, FL  United States  32611
• Principal Investigators:

  Tia, Mang

• Start Date: 20250609
• Expected Completion Date: 20270630
• Actual Completion Date: 0
• USDOT Program: Accelerated Implementation and Deployment of Pavement Technologies
• USDOT Program: Advanced Research

Subject/Index Terms

• TRT Terms: Concrete pavements; Machine learning; Mix design; Pavement performance; Specifications
• Geographic Terms: Florida
• Subject Areas: Design; Highways; Materials; Pavements;

Filing Info

• Accession Number: 01957624
• Record Type: Research project
• Source Agency: Florida Department of Transportation
• Contract Numbers: BED31 977-40
• Files: RIP, STATEDOT
• Created Date: Jun 10 2025 7:46AM