PI | |
Co-PIs | |
Project Type | Experimental |
Natural Hazard Type(s) | Wind |
Facilities | |
Awards | Reconstruction of Four-Dimensional Near-Surface Wind Characteristics from Debris and Damage Attributes using Computer Vision | CMMI-2053935 | National Science Foundation |
Keywords | debris, wind-borne, Wall of Wind |
This project generated a structured debris flight media dataset from two complementary large-scale experiments conducted at the Wall of Wind shared-use facility at Florida International University. The experiments were designed to capture debris flight media under high-velocity wind conditions, representative of the size and types of debris objects observed during field investigations after extreme windstorms, such as hurricanes, tornadoes, and thunderstorms, contributing to a deeper understanding of near-surface wind dynamics. The experimental setup consisted of a base building positioned on a turntable in front of the facility's flow management system. The roof section of the base building contained chambers housing the debris objects, which were released into the flow field. The research project was structured into two experiments. In the first, the flow field was characterized to determine the background wind conditions under various stream flow scenarios. In the second, a variety of debris objects placed in the roof section of the base building were released into the wind flow using a controlled technique, ensuring effective dispersion into the flow field. Cameras with varying resolutions and frame rates were strategically positioned within the flow field to capture the trajectories of debris released from the roof of the building. The camera array recorded the debris flight paths, producing a high-quality visual record of debris behavior under controlled conditions. Two datasets, comprising the background flow characterization and the debris flight data, are provided to enhance our understanding of wind-borne debris flights and improve insights into non-synoptic wind events, such as tornadoes. These datasets can be reused by researchers and engineers to validate debris flight models, advance aerodynamic studies, and improve wind design codes and standards.