Industry and safety standards demand the knowledge of the thermal behavior of systems subjected to fire, particularly for the transportation of radioactive materials for spent nuclear fuel disposal and reprocessing. Experimentally benchmarked fire test data from Container Analysis Fire Environment (CAFE) are used to calibrate the Sandia One Dimensional Direct and Inverse Thermal (SODDIT) code by optimizing number of future times (NFT) at 11 and identifying a linear correlation and uncertainty range between the SODDIT input and output. The calibration is then used to predict the heat flux to a large pipe calorimeter in a jet fuel fire, for which the result is an 11 second window average of the actual heat flux. The maximum heat flux occurred at the beginning of the fire and was found to be 195 ± 37.3 kW/m2 at a 95% confidence level.

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