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中国科学院力学研究所机构知识库
Knowledge Management System of Institue of Mechanics, CAS
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张珍 [12]
王一伟 [12]
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Creator:zhangzhen分张珍
Document Type:期刊论文
Author:王一伟
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单孔排气气泡特征识别与参数提取方法
期刊论文
化工进展, 2024, 卷号: 43, 期号: 02, 页码: 808-817
Authors:
杨志龙
;
田文斌
;
张珍
;
王志英
;
王一伟
Adobe PDF(2825Kb)
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View/Download:26/5
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Submit date:2024/04/28
气液两相流
重叠气泡识别
气泡特征统计
高速摄像
Data-driven turbulence model for unsteady cavitating flow
期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 1, 页码: 18
Authors:
Zhang Z(张珍)
;
Wang JZ(王静竹)
;
Huang RF(黄仁芳)
;
Qiu RD(丘润荻)
;
Chu, Xuesen
;
Ye SR(叶舒然)
;
Wang YW(王一伟)
;
Liu, Qingkuan
Adobe PDF(4681Kb)
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View/Download:162/8
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Submit date:2023/02/27
基于长短期记忆网络的非定常空化水翼表面压力预测
期刊论文
中国科学:物理学 力学 天文学, 2022, 卷号: 52, 期号: 10, 页码: 104-112
Authors:
张珍
;
刘庆宽
;
王静竹
;
王一伟
Adobe PDF(1685Kb)
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View/Download:171/53
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Submit date:2022/11/14
长短期记忆
压力系数
空化流
大涡模拟
绕弹性水翼空化流动及其流激振动特性研究
期刊论文
水动力学研究与进展A辑, 2022, 卷号: 37, 期号: 02, 页码: 172-180
Authors:
丘润荻
;
支玉昌
;
张珍
;
黄仁芳
;
王一伟
;
杜特专
Adobe PDF(1420Kb)
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Submit date:2022/08/11
弹性水翼
流固耦合
空化
流激振动
基于组合神经网络的雷诺平均湍流模型多次修正方法
期刊论文
力学学报, 2021, 卷号: 53, 期号: 06, 页码: 1532-1542
Authors:
张珍
;
叶舒然
;
岳杰顺
;
王一伟
;
黄晨光
Adobe PDF(7671Kb)
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Submit date:2021/11/12
组合神经网络
雷诺平均
各向异性
隐式修正
精度闭环
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
Adobe PDF(9395Kb)
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View/Download:289/50
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Submit date:2021/06/07
A machine learning model for predicting the ballistic impact resistance of unidirectional fiber-reinforced composite plate
期刊论文
SCIENTIFIC REPORTS, 2021, 卷号: 11, 期号: 1, 页码: 10
Authors:
Lei XD(雷旭东)
;
Wu XQ(吴先前)
;
Zhang Z(张珍)
;
Xiao KL(肖凯璐)
;
Wang YW(王一伟)
;
Huang CG(黄晨光)
Adobe PDF(1965Kb)
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Submit date:2021/05/17
基于卷积神经网络的深度学习流场特征识别及应用进展
期刊论文
航空学报, 2021, 卷号: 42, 期号: 04, 页码: 185-199
Authors:
叶舒然
;
张珍
;
王一伟
;
黄晨光
Adobe PDF(3737Kb)
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View/Download:753/220
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Submit date:2021/08/25
卷积神经网络
流场识别
流动预测
外形优化
泊松方程
生成对抗网络
深度学习
Energy performance prediction of the centrifugal pumps by using a hybrid neural network
期刊论文
Energy, 2020, 卷号: 213, 页码: 119005
Authors:
Huang RF(黄仁芳)
;
Zhang Z(张珍)
;
Zhang W
;
Mou JG
;
Zhou PJ
;
Wang YW(王一伟)
Adobe PDF(4596Kb)
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Submit date:2021/01/29
Centrifugal pump
Energy performance
Loss model
Physics-informed neural network
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)
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View/Download:327/65
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Submit date:2020/10/29