Aircraft post-crash fires present significant challenges for engineering analysis and safety enhancement. This study introduces a predictive model designed to facilitate accurate engineering calculations in the context of full-scale aircraft post-crash fire scenarios. The model integrates key parameters such as fuel type, distribution, structural materials, and environmental conditions to simulate fire progression and intensity. Using advanced computational techniques and empirical data, the model predicts critical outcomes, including temperature distribution, structural integrity compromise, and potential survival zones. Validation of the model is achieved through comparison with historical data and controlled fire tests. The results demonstrate the model's reliability in predicting real-world fire behavior, providing a valuable tool for improving aircraft design, enhancing safety protocols, and informing emergency response strategies. This predictive model represents a significant advancement in aerospace safety engineering, offering a robust framework for mitigating the risks associated with post-crash fires.

Predictive modeling, Engineering calculations, Full-scale aircraft

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