Computational Fluid Dynamics Visualization for Unmanned Aerial Systems in Bridge Inspections

Bridge inspections are an expensive and time-consuming process, varying significantly with a bridge's style, height, width, and length. Inspections create interruptions that interfere with bridge use, as the examination requires partial or total closure, causing traffic delays. Unmanned aerial system (UAS) use has increased significantly over the past decade, including assistance and coordination during bridge inspections. However, the impact on a UAS from high winds and turbulent airflows induced by a bridge's structure can decrease flight safety during inspections. Visualization of these hazards is difficult for UAS operators; therefore, a process to estimate the velocity and locations of these hazardous flows was created. The process begins by generating a simplified 3D model using the structural elements of a concrete and steel girder bridge based on the parameters and characteristics of the bridge. The model is then processed by a computational fluid dynamics application that estimates the locations and velocities of the wind flows around the structure. Finally, the results are converted into a standard computer model file type that is either an augmented reality or computer application to display so to assist the UAS operator.