New Paper on Damaged Girder Capacity Prediction

Congratulations to Ahmed Ibrahim on leading the publication of a new journal paper:

Ibrahim, A.E., Fahnestock, L.A., LaFave, J.M. and Elbanna, A.E. “Explainable machine learning for predicting the load-carrying capacity of damaged steel girders after over-height vehicle strikes, Engineering Structures, 357 (2026) 122517.

This paper documents a portion of Illinois Center for Transportation (ICT) project R27-225 (“Strength and Serviceability of Damaged Steel Girders”).