Uncertainty quantification of unconfined spill fire data by coupling Monte Carlo and artificial neural networks

Due to the complexity of spill fire, predicting heat release rate (HRR) is a challenging aspect, therefore, identifying key contributors to uncertainty is essential to develop reliable models for fire risk assessment.