Initial Proof of Concept on the Use of 3D Models to Identify Structural Deviations of Bridge Components

This research paper presents ongoing research work towards developing an effective remote sensing system for bridge inspections. The paper describes various tests that were conducted to address a research question regarding the applicability of 3D models developed from mobile LiDAR data to help identify signs of bridge settlement. The general solution approach involved test planning, collecting data, aligning LiDAR data into a common coordinate system, developing 3D models, and evaluating the use of the resulting models to identify structural deviations. A mockup bridge structure was developed using PVC material to conduct initial experiments prior to conducting more expensive field tests. Prior to data collection, the LiDAR sensor was placed on a tripod mount at a distance of x feet from the PVC structure, and a portion of the PVC structure was inclined y inches using 0.5 inches thick wooden stakes. The resulting 3D models showed that a 0.5 inch inclination was easily identified with the sensor located 10 feet from the structure, and using only 20 LiDAR scans. Future areas of research are discussed to extend the ongoing work presented in this paper.