Researching a better way to evaluate job site natural hazard risk
Fast-forming hurricanes such as Laura and other natural hazards pose significant risks to construction sites, whose hazard risk assessment currently relies on time-consuming, labor-intensive manual inspections.
Youngjib Ham, assistant professor of construction science, is addressing this issue by developing a rapid, automated site risk assessment procedure that employs large-scale data from drones and other devices fed into an algorithm to rapidly assess these sites’ hazard risk elements and degree of vulnerability.
He’s developing the procedure in a 50K research project funded by the National Science Foundation.
For more information, contact rnira@arch.tamu.edu or doswald@tamu.edu.
