Prediction of Bridge Performance Degradation

This project examines corrosion performance of bridge steel to enable better predictions of material loss rates for active corrosion on bridges. Experiments include accelerated corrosion testing of A36 carbon steel and high strength alloy A588 steel using NaCl and simulated seawater solutions.

Collaborators include

Dr. Arash Esmaili Zaghi, Associate Professor, Civil and Environmental Engineering

Funding Provided by

• Interdisciplinary Multi-Investigator Materials Proposals (Seed funding from UConn OVPR, Provost, CLAS, SoE, and IMS)

Students working on this include

Donghyun Kim

Alexander Perkins