UTC 2022 Funding - Cycle 2 Research Projects

Project No.: CY3-UNM-01
Title: Augmented Reality-Assisted Quality Control for Structural Component Placement in Bridge Construction
Performing Institution: University of New Mexico
Principal Investigator: Fernando Moreu and Su Zhang, University of New Mexico
Start and Anticipated Completion Dates: 01/01/2026 to 01/15/2027 
Abstract: Construction quality control is an important part of building reliable infrastructure. This process starts with proper fabrication and depends heavily on how well the components are installed in the field. Construction requirements include surveying, documentation, inspection, and other means to control the quality of component placement during bridge construction. Making sure everything is placed and assembled correctly is key for the performance of the intended structural design over time. For instance, in bridge construction, even when components are fabricated within tolerance, improper placement during assembly can lead to alignment errors that compound over time, potentially affecting structural integrity, safety, and durability. This challenge has been observed in ongoing collaborations with NMDOT and Castillo Precast, where the transition from fabrication to field placement may introduce uncertainties that current quality control workflows lack to quantify. There are two main challenges: (1) planning properly given the tight schedules and different teams between the fabrication and installation on time and space, making it difficult to coordinate with all parties (precaster, inspector at the precast plant, truck driver, crane operator, field contractor, consultant at the site, owner); (2) recording, accessing and sharing the construction sequence over the life of the bridge when needed, for example 10-20 years later. 

To address these challenges, this project proposes a digital inspection and verification system that combines 3D scanning and Augmented Reality visualization to support quality control for structural component placement in bridge construction. The goal is to compare the as-built configuration of structural components with the design intent in real time, helping engineers detect deviations early and minimize the risk of cumulative construction errors. By engaging directly with active construction sites in New Mexico, the research takes into account practical challenges such as limited working space, variable lighting, irregular ground surfaces, weather exposure, and the fast-paced nature of construction schedules, all of which can affect the usability and reliability of digital tools in the field. Through this system, field personnel can visualize discrepancies between what was designed and what was built, directly overlaid on the structure without relying only on traditional tape measures, 2D plans, or surveying. The project also develops a QR code installed on each element that provides long-term access to critical data from fabrication and construction to be always at the bridge and accessible by scanning, supporting future inspections and maintenance activities by allowing users to retrieve component information directly on-site using Augmented Reality. 
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