On the Application of Physics-Informed Neural Networks to Real-Time Structural Integrity Prediction Under Compartment Fire Conditions
A PINN framework embedding heat transfer and thermoelastic stress PDEs into the training loss function, achieving structural state evaluation in 0.3 seconds versus 45 minutes for conventional FEA.