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

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Detalhes bibliográficos
Publicado no:	Fire vol. 8, no. 7 (2025), p. 280-295
Autor principal:	Luo, Jing
Outros Autores:	Tian Guangxin, Chen, Xu, Zhang, Shijie, Liu, Zhen
Publicado em:	MDPI AG
Assuntos:	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
Acesso em linha:	Citation/Abstract Full Text + Graphics Full Text - PDF
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