Outsmarting rust with AI: predicting steel's silent enemy

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About the research

In 2018, the Morandi bridge in Genoa collapsed, killing 43 people. The culprit? Rust. To prevent tragedies like this, material scientist Vincent Vangrunderbeek (VUB - FWO) investigates how rust develops on steel surfaces.  He uses rust sensors at weather stations and camera setups that capture how corrosion forms. Analyzing all this data and imagery manually would take years, so he trains AI to help process and interpret it. "If we can predict where and when rust forms, we could prevent it", as he explains.

The goal of his research is to help us move from random checks to smart, preventive maintenance of bridges and buildings.

New materials
Vincent Vangrunderbeek
VUB

Vincent has always been curious about how things work, whether in the kitchen, in music, or in science. He enjoys bringing science to people in an accessible way, whether through teaching, presentations, or informal conversations. At the VUB, he is now part of the SUME group, where he serves as a bridge between materials science and artificial intelligence. His PhD research, funded by the Research Foundation Flanders, aims to improve how we predict atmospheric corrosion to better protect steel infrastructure. 

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