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Estimating thermal radiation of vertical jet fires of hydrogen pipeline based on linear integral and machine learning

Abstract Accurate and efficient prediction of thermal radiant of hydrogen jet fire is important to schedule safety design and emergency rescue program for hydrogen pipelines. In response, this paper proposes a novel Optuna-improved back propagation neural network (Optuna-BPNN) to estimate hydrogen j...

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Principais autores: Anqing Fu, Weidong Li, Mingxing Li, Hang Su, Chaoming Wang
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-10-01
Serier:Scientific Reports
Fag:
Hydrogen pipeline
Jet fire
Thermal radiation
Machine learning
BP neural network
Online adgang:https://doi.org/10.1038/s41598-025-17462-8
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