Development of a Geometric Extraction Tool as Part of a Pilot Digital Twin Framework for Open-Deck Rail Bridges
CAIT project no.: CAIT-UTC-REG65
Fiscal Year: 2021/2022
Principal investigator(s): Mir Amirali Najafi, Ph.D. (PI)
Performing organization(s): Rutgers CAIT
Managing organization: Rutgers CAIT
In cooperation with: New Jersey Transit
Partner project manager: Richard Schaefer, Chief Engineer, Design and Environmental
Supported by: USDOT-OST-R
UTC, grant, or agreement no.: 69A3551847102
The primary goal of this proposal is to use non-contact 3D scanning technology and AI for assisting in the inspection and maintenance procedures for deck timbers and rails on open-deck bridges.
The proposed research is a pilot project targeting a virtual open-deck bridge. Upon successful implementation, NJT will benefit from a utility which autonomously identifies geometries of timbers and rails. NJT may incorporate the discussed algorithms as part of a larger framework on developing digital twins for real open-deck bridges. A digital twin framework with the geometry identification algorithm can replace the tedious traditional timber maintenance programs.