Real-time full-field reconstruction and prediction of temperature field evolution stimulated by dynamic tunnel fires using a physics-informed neural network (PINN) assisted by online-updated sparse monitoring data

Tunnelling and Underground Space Technology 2026

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Authors: Li Jiang, Xin Guo, Ying Yang, Dong Yang, Dong Yang

DOI: 10.1016/j.tust.2026.107735

Cited by: 1

References: 44

Fields of Study & Subjects

Model Reduction and Neural Networks Fire dynamics and safety research Coal Properties and Utilization

References 44