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

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Dettagli Bibliografici
Pubblicato in:	Fire vol. 8, no. 7 (2025), p. 280-295
Autore principale:	Luo, Jing
Altri autori:	Tian Guangxin, Chen, Xu, Zhang, Shijie, Liu, Zhen
Pubblicazione:	MDPI AG
Soggetti:	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
Accesso online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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