Automated Curing and Strength Monitoring of Sensor-Embedded 3D Printed Transportation Infrastructure

The main objective of this project is to address a major existing challenge with respect to the curing conditions and mechanical strength development of 3D printed infrastructure. Integrated curing techniques are proposed, and the impact of these techniques on the mechanical strength development of early-age 3D printed specimens will be studied. Embedded sensors in the 3D printed specimens will be used to monitor the electrical resistivity and temperature variations over time. The sensory data will then be used to quantify the efficiency of different curing methods and to estimate the mechanical strength at different ages and under different curing conditions. The proposed research addresses a major practical challenge for widespread adoption of construction 3D printing technology for automated transportation infrastructure construction.

  • Supplemental Notes:
    • 22CLSU12


  • English


  • Status: Active
  • Funding: $150000
  • Contract Numbers:


  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Transportation Consortium of South-Central States (Tran-SET)

    Louisiana State University
    Baton Rouge, LA  United States  70803
  • Project Managers:

    Mousa, Momen

  • Performing Organizations:

    Louisiana State University, Baton Rouge

    P.O. Box 94245, Capitol Station
    Baton Rouge, LA  United States  70803
  • Principal Investigators:

    Kazemian, Ali

  • Start Date: 20220401
  • Expected Completion Date: 0
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01844772
  • Record Type: Research project
  • Source Agency: Transportation Consortium of South-Central States (Tran-SET)
  • Contract Numbers: 69A3551747106
  • Files: UTC, RIP
  • Created Date: May 6 2022 11:38AM