基于物理约束神经网络的储氢罐泄漏扩散预测
DOI: http://dx.doi.org/10.12349/cta.v2i3.6125
Article ID: 6125
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王岚,王子臻.“双碳”目标下中石化多元化经营探索[J].合作经济与科技,2023,(19):126-128.DOI:10.13665/j.cnki.hzjjykj.2023.19.044.
济民.从地下到天空,中石化发力新能源[J].中国石油石化,2021,(03):32-33.
冯成,周雨轩,刘洪涛.氢气存储及运输技术现状及分析[J].科技资讯,2021,19(25):44-46.
邝辰,刘迪,杨昊,等.氢气泄漏后燃爆风险研究现状综述[J].安全、健康和环境,2021,21(09):1-5.
周树辉,王秀林,段品佳,等.高压气态储氢技术形势分析[J].储能科学与技术,2023,12(08):2668-2679.DOI:10.19799/j.cnki.2095-4239.2023.0139.
王继猛,崔燕,王鹏飞,等.大气环境影响下的高压氢储罐氢气泄漏爆炸事故后果模拟[J].湖南科技大学学报(自然科学版),2024,39(03):30-35.DOI:10.13582/j.cnki.1672-9102.2024.03.004.
李雪芳.储氢系统意外氢气泄漏和扩散研究[D].清华大学,2015.
Shu Z , Liang W , Zheng X ,et al.Dispersion Characteristics of Hydrogen Leakage: Comparing the Prediction Model with the Experiment[J].Energy, 2021, 236(14):121420.DOI:10.1016/j.energy.2021.121420.
胡玮鹏,陈光,齐宝金,等.埋地纯氢/掺氢天然气管道泄漏扩散数值模拟[J].油气储运,2023,42(10):1118-1127+1136.
RAISSI M, PERDIKARIS P, KARNIADAKIS G E.Physics informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations[J]. Journal of Computational Physics, 2019, 378: 686−707.
Lee W H .PRESSURE ITERATION SCHEME FOR TWO-PHASE FLOW MODELING[M].[2025-03-31].
Jin T , Wu M , Liu Y ,et al.CFD modeling and analysis of the influence factors of liquid hydrogen spills in open environment[J].International Journal of Hydrogen Energy, 2016, 42(1):732-739.DOI:10.1016/j.ijhydene.2016.10.162.
Mikko M , Veikko T , Sirpa K .On the mixture model for multiphase flow[J].VTT Publications, 1996, 288.
Tominaga Y , Mochida A , Yoshie R ,et al.AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings[J].Journal of Wind Engineering and Industrial Aerodynamics, 2008, 96(10-11):1749-1761.DOI:10.1016/j.jweia.2008.02.058.
Hochreiter S, Schmidhuber J. Long short-term memory.Neural Comput 1997;9:1735-80.
Karpatne A, Watkins W, Read J, Kumar V. Physics guidedneural networks (PGNN): an application in lake temperaturemodeling. 2017
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