High-resolution reconstruction and a-priori modeling of turbulent flames in the context of large eddy simulation using the convolutional neural network-Reference-Cited by-同舟云学术

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High-resolution reconstruction and a-priori modeling of turbulent flames in the context of large eddy simulation using the convolutional neural network

Published:2022-09 Issue: Volume: Page:
ISSN:1540-7489
Container-title:Proceedings of the Combustion Institute
language:en
Short-container-title:Proceedings of the Combustion Institute

Author:

Liu Shiyu,Wang Haiou,Ren Jiahao,Luo Kun,Fan Jianren

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Physical and Theoretical Chemistry,Mechanical Engineering,General Chemical Engineering

Reference30 articles.

1. Large-eddy simulation of turbulent combustion;Pitsch;Annu. Rev. Fluid Mech.,2006

2. Turbulent Combustion;Peters,2000

3. A thickened flame model for large eddy simulations of turbulent premixed combustion;Colin;Phys. Fluids,2000

4. Implications of a flame surface density approach to large eddy simulation of premixed turbulent combustion;Hawkes;Combust. Flame,2001

5. Performance assessment of flamelet models in flame-resolved LES of a high Karlovitz methane/air stratified premixed jet flame;Galeazzo;Proc. Combust. Inst.,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. High-resolution reconstruction of turbulent flames from sparse data with physics-informed neural networks;Combustion and Flame;2024-02

2. Deep Neural Network-Based Generation of Planar CH Distribution through Flame Chemiluminescence in Premixed Turbulent Flame;Energy and AI;2023-04

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