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A semi-implicit discrepancy model of Reynolds stress in a higher-order tensor basis framework for Reynolds-averaged Navier-Stokes simulations 期刊论文
AIP ADVANCES, 2021, 卷号: 11, 期号: 4, 页码: 17
Authors:  Zhang Z(张珍);  Ye SR(叶舒然);  Yin B(银波);  Song, Xudong;  Wang YW(王一伟);  Huang CG(黄晨光);  Chen, Yaosong
Favorite  |  View/Download:20/0  |  Submit date:2021/06/07
水下发射水动力的多尺度预测网络研究 期刊论文
力学学报, 2021, 卷号: 53, 期号: 02, 页码: 339-351
Authors:  岳杰顺;  权晓波;  叶舒然;  王静竹;  王一伟
Adobe PDF(1376Kb)  |  Favorite  |  View/Download:17/1  |  Submit date:2021/04/19
水下发射  深度学习  多尺度  一维卷积  尾部压力  
基于卷积神经网络的空化水翼表面的压力预测 会议论文
第三十一届全国水动力学研讨会, 中国福建厦门, 2020-10-30
Authors:  王畅;  叶舒然;  张珍;  王一伟
Adobe PDF(1733Kb)  |  Favorite  |  View/Download:12/1  |  Submit date:2021/01/28
机器学习  卷积神经网络  水翼  非定常  流场识别  
基于气泡物理规律的航行体水动力深度学习预测方法 会议论文
第三十一届全国水动力学研讨会, 中国福建厦门, 2020-10-30
Authors:  岳杰顺;  王静竹;  叶舒然;  王一伟
Adobe PDF(1286Kb)  |  Favorite  |  View/Download:20/1  |  Submit date:2021/01/28
空泡  水动力  水下航行体  物理约束  深度学习  
A flow feature detection method for modeling pressure distribution around a cylinder in non-uniform flows by using a convolutional neural network 期刊论文
SCIENTIFIC REPORTS, 2020, 卷号: 10, 期号: 1, 页码: 10
Authors:  Ye SR(叶舒然);  Zhang Z(张珍);  Song XD;  Wang YW(王一伟);  Chen YS;  Huang CG(黄晨光)
Adobe PDF(4204Kb)  |  Favorite  |  View/Download:55/2  |  Submit date:2020/10/29
自动编码器在流场降阶中的应用 期刊论文
空气动力学学报, 2019, 卷号: 37, 期号: 03, 页码: 498-504
Authors:  叶舒然;  张珍;  宋旭东;  杜特专;  王一伟;  黄晨光;  陈耀松
View  |  Adobe PDF(2088Kb)  |  Favorite  |  View/Download:131/14  |  Submit date:2019/09/12
机器学习  自动编码器  圆柱绕流  流场特征提取  压力预测  
Reconstruction of RANS model and cross-validation of flow field based on tensor basis neural network 会议论文
ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019, San Francisco, CA, United states, July 28, 2019 - August 1, 2019
Authors:  Song XD;  Zhang Z(张珍);  Wang YW(王一伟);  Ye SR(叶舒然);  Huang CG(黄晨光)
Favorite  |  View/Download:24/0  |  Submit date:2020/11/20
Cross-validation  Multi-layer neural network  Reynolds stress  Turbulence model  
Transfer learning for modeling pressure coefficient around cylinder using CNN 会议论文
29th International Ocean and Polar Engineering Conference, ISOPE 2019, Honolulu, HI, United states, June 16, 2019 - June 21, 2019
Authors:  Ye SR(叶舒然);  Wang YW(王一伟);  Zhang Z(张珍);  Huang CG(黄晨光)
Favorite  |  View/Download:13/0  |  Submit date:2020/11/20
Convolutional neural networks  Flow field analysis  Pressure prediction  Transfer learning