University of Texas-Arlington: Using AI to Better Assess Structural Health of Bridges
August 29, 2020
August 29, 2020
ARLINGTON, Texas, Aug. 29 -- The University of Texas Arlington campus issued the following news release:
A civil engineering assistant professor at The University of Texas at Arlington is working to better assess a bridge's structural health by combining machine learning with traditional monitoring measurements.
Suyun Ham's 18-month, $122,000 grant is part of UTA's membership in the Transportation Consortium of South-Central States (Tran-SET), a U.S. Depa . . .
A civil engineering assistant professor at The University of Texas at Arlington is working to better assess a bridge's structural health by combining machine learning with traditional monitoring measurements.
Suyun Ham's 18-month, $122,000 grant is part of UTA's membership in the Transportation Consortium of South-Central States (Tran-SET), a U.S. Depa . . .