Real-time Reinforcement Cage Quality Monitoring in Construction of Concrete Structures

This research will provide a real-time reinforcement cage quality monitoring framework for the construction of reinforced concrete structures, which is expected to improve the production quality of reinforced concrete products and reduce the workload of construction workers in the foreseeable future. Specifically, this research will (1) provide a rebar cage dimension measurement method based on cameras, freeing human labor from the laborious task of measuring the dimension of reinforcement cages by hand; (2) develop a new rebar cage inspection application, which can instruct workers to assemble rebar cage properly and generate rebar cage quality inspection reports automatically; (3) reveal the major challenges in the automated quality monitoring of rebar cages and show the promising directions for subsequent research; (4) present high-quality papers to improve the academic visibility of participating institutions.

Faculty Supervisor:

Yi Shao

Student:

Partner:

Princeton University

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

McGill University

Program: