Real-time prediction of fire propagation in tunnels with discontinuous combustible materials based on bidirectional long short-term memory networks | Synapse
March 3, 2026
Real-time prediction of fire propagation in tunnels with discontinuous combustible materials based on bidirectional long short-term memory networks
Key Points
Fire propagation dynamics are effectively predicted using a bidirectional long short-term memory network.
The model demonstrates a significant accuracy improvement, achieving over 90% predictive performance during simulations.
Assessment involved real-time predictive modeling of fire situations in tunnels with discontinuous combustible materials.
The findings suggest enhanced safety measures can be developed for tunnel designs based on predictive outcomes.