Combustion model of effective-potential fire loads based on data fusion: Quantitative methods for predicting solid fuel fires in tunnel

Key Points

• Effective-potential fire loads indicate the significant risk solid fuel fires pose in tunnel settings, unresolved by existing models.
• The analysis reveals a fire load reduction of up to 50% using advanced data fusion techniques to optimize predictions.
• Combustion modeling employs quantitative methods to assess fire risks based on integrated data from various sources.
• These innovative measures highlight the need for enhanced safety standards in tunnel designs due to potential fire hazards.