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

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Bibliographische Detailangaben
Veröffentlicht in:	Fire vol. 8, no. 7 (2025), p. 280-295
1. Verfasser:	Luo, Jing
Weitere Verfasser:	Tian Guangxin, Chen, Xu, Zhang, Shijie, Liu, Zhen
Veröffentlicht:	MDPI AG
Schlagworte:	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
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