F. Mukhtar

Machine Learning for Bridge Fire Performance Assessment: Methods, Challenges, and Future Directions

A critical review of recent advances in ML for assessing the fire performance of bridges is presented and current challenges, including the limited availability of bridge fire databases, model generalization, interpretability, uncertainty quantification, and practical implementation are critically discussed.