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A practical approach to flow field reconstruction with sparse or incomplete data through physics informed neural network 期刊论文
ACTA MECHANICA SINICA, 2023, 卷号: 39, 期号: 3, 页码: 322302
作者:  Xu SF(许盛峰);  Sun ZX(孙振旭);  Huang RF(黄仁芳);  Guo DL(郭迪龙);  Yang GW(杨国伟);  Ju SJ(鞠胜军)
Adobe PDF(4793Kb)  |  收藏  |  浏览/下载:64/1  |  提交时间:2023/04/20
Physics informed neural network  Flow field reconstruction  Particle image velocimetry  Cosine annealing algorithm  Experimental fluid dynamics  
An efficient unstructured WENO method for supersonic reactive flows 期刊论文
ACTA MECHANICA SINICA, 2018, 卷号: 34, 期号: 4, 页码: 623-631
作者:  Zhao WG;  Zheng HW(郑洪伟);  Liu FJ;  Shi XT;  Gao J;  Hu N;  Lv M;  Chen SC;  Zhao HD
浏览  |  Adobe PDF(3673Kb)  |  收藏  |  浏览/下载:367/91  |  提交时间:2018/10/30
Supersonic reactive flows  Adaptive splitting scheme  Unstructured grids  WENO reconstruction