AI forecasts dissolved oxygen in rural wastewater ponds with under 7% error
“If operators can predict tomorrow's oxygen levels, they can aerate when it actually helps instead of running oxygenation systems around the clock,”
-Mahathir Mohammad Bappy, Assistant Professor, Industrial Engineering
Physics-informed neural network models size-dependent deformation in micro- and nanoscale metals
“At these scales the material does not behave the way textbook models say, and the neural network lets us describe the physics using the data,”
-George Voyiadjis, Professor and Chair, Civil & Environmental Engineering
An AI model predicts how stretchy materials wear out
“We wanted a model that can discern the physics of polymer wear from a handful of tests while still being relevant far outside of its training set,”
-Guoquiang Li, Professor, Mechanical Engineering
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Self-sensing concrete review of 121 studies maps what controls its strain sensitivity
“Information from self-sensing concretes is difficult to standardize, and a lot of that comes down to how people set up the test, not the material,”
-Yen-Fang Su, Assistant Professor, Civil & Environmental Engineering
Full-scale Louisiana tests measure how long a flexible, jointless concrete overlay can resist early cracking
“If a thin overlay can sustain more traffic usage before it cracks, that stretches every dollar a state spends on its roads,”
-Marwa Hassan, Professor, Construction Management