Temperature Field Prediction of Glulam Timber Connections Under Fire Hazard: A DeepONet-Based Approach

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Detalles Bibliográficos
Publicado en:	Fire vol. 8, no. 7 (2025), p. 280-295
Autor principal:	Luo, Jing
Otros Autores:	Tian Guangxin, Chen, Xu, Zhang, Shijie, Liu, Zhen
Publicado:	MDPI AG
Materias:	Temperature distribution Finite element method Fire hazards Wood Accuracy Beam-columns Data processing Timber Structural engineers Thermodynamic properties Safety engineering Thermal properties Computer applications Automation Machine learning Fire prevention Heat conductivity Deep learning Radiation Batch processing Heat transfer Simulation Construction Temperature dependence Neural networks Artificial intelligence Temperature effects Predictions Computational efficiency Glulam Mathematical models Engineering Parametric analysis Environmental
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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