Qin-Qin Zhu

Prediction of Ceiling Temperature in Tunnel Fires Under Canyon‐Wind Conditions Using Ensemble Learning

To overcome the limitations of traditional physical models in predicting the ceiling temperature of mountain tunnel fires under complex canyon‐wind environments, this study proposes a data‐driven ensemble learning prediction framework. Based on 1:20 reduced‐scale tunnel fire experiments, a feature dataset comprisin...