Automated MFL System for Corrosion Detection

Link to the Latest: September 2020 Progress Report

Background:
The proposed project is aimed at using the methodology that is developed under other projects and supported by other agencies and automates the process for accelerated field application. The scope of the work and budget is kept at minimum budget since the majority of the related work and research have been completed under other projects.

Objective:
The main objective of this limited project is to automate the technology that is developed to inspect the health of steel elements within concrete bridges.

Scope:
An overview of the study tasks is given below.

  • Task 1– Development of an automated approach for MFL

    • The use of various small robots in conjunction with wireless data acquisition with robots controlled from a distance is the solution for automating the procedure. Under this task, the elements of the current MFL system will be modified to make use of wireless sensors in conjunction with the use of small robots.
  • Task 2– Laboratory validation of the new automated system for MFL

    • In this task, laboratory validation of the efficacy of the automated system utilizing small robots and wireless data acquisition system. The laboratory test will be conducted on the bridge segments at FIU as shown in Figure 1.
  • Task 3– Field validation of the new automated system for MFL

    • In this task, field validation of the efficacy of the automated system utilizing small robots and wireless data acquisition system. The PI will work closely with FDOT to identify a bridge candidate for the deployment of the new system for field validation.
  • Task 4- Final Report

    • A final report will summarize the findings of this proposed research.

Research Team:
Principal Investigator: Dr. Atorod Azizinamini

Previous Progress Reports: