Machine Learning‐Based Prediction of Temperature Evolution in Steel Compartment Fires
In performance‐based structural fire design, accurate prediction of compartment gas temperature is essential for evaluating structural response under fire conditions. This study presents a machine learning‐based surrogate model for predicting the time evolution of hot gas layer temperatures at the center of the compart...