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Predicting the flow stress and dominant yielding mechanisms: analytical models based on discrete dislocation plasticity 期刊论文
SCIENTIFIC REPORTS, 2019, 卷号: 9, 页码: 12
Authors:  Hu JQ(胡剑桥);  Song HX;  Liu ZL;  Zhuang Z;  Liu XM(刘小明);  Sandfeld S
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The effects of geometry and heating rate on thermocapillary convection in the liquid bridge 期刊论文
Journal of Fluid Mechanics, 2019, 卷号: 881, 页码: 951-982
Authors:  Kang Q(康琦);  Wu D(吴笛);  Duan L(段俐);  Hu L(胡良);  Wang J(王佳);  Zhang P(张璞);  Hu WR(胡文瑞)
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Tunable Spreading and Shrinking on Photocontrolled Liquid Substrate 期刊论文
ACS OMEGA, 2019, 卷号: 4, 期号: 26, 页码: 21967-21974
Authors:  Ji WJ(纪文杰);  Li WB(李伟斌);  Wang YR(王育人);  Lan D(蓝鼎)
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An elasto-plastic contact model for conformal contacts between cylinders 期刊论文
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY, 2019, 页码: 9
Authors:  Hu JQ(胡剑桥);  Gao FH;  Liu XM(刘小明);  Wei YG(魏悦广)
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Conformal contact  elasto-plastic transition  normal force-displacement relation  plastic-Winkler model  
Subgrid-scale model for large-eddy simulation of isotropic turbulent flows using an artificial neural network 期刊论文
COMPUTERS & FLUIDS, 2019, 卷号: 195, 页码: UNSP 104319
Authors:  Zhou ZD(周志登);  He GW(何国威);  Wang SZ(王士召);  Jin GD(晋国栋)
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Machine learning  Artificial neural network  Subgrid-scale model  Large-eddy simulation  Isotropic turbulent flows  
基于主成分分析法与逼近理想解法的38MnVS6激光熔覆工艺研究 期刊论文
兵工学报, 2019, 卷号: 40, 期号: 12, 页码: 2537-2544
Authors:  赵尧;  虞钢;  何秀丽;  李海明;  李少霞
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激光熔覆  激光功率  扫描速度  送粉速率  稀释率  主成分分析法  逼近理想解法  
Excellent irradiation tolerance and mechanical behaviors in high-entropy metallic glasses 期刊论文
JOURNAL OF NUCLEAR MATERIALS, 2019, 卷号: 527, 页码: 8
Authors:  Wang Y(王洋);  Zhang K(张坤);  Feng YH(冯义辉);  Li YS(李炎森);  Tang WQ(唐伟奇);  Zhang YT(张亚婷);  Wei BC(魏炳忱);  Hu Z(胡铮)
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High-entropy metallic glass  Irradiation damage  Serrated flow  Creep behavior  
Tailoring heterogeneities in high-entropy alloys to promote strength-ductility synergy 期刊论文
NATURE COMMUNICATIONS, 2019, 卷号: 10, 页码: 10
Authors:  Ma E;  Wu XL(武晓雷)
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An Ensemble Convolutional Neural Networks for Bearing Fault Diagnosis Using Multi-Sensor Data 期刊论文
Sensors, 2019, 卷号: 19, 期号: 23, 页码: 5300
Authors:  Liu Y(刘洋);  Yan XS;  Zhang CA(张陈安);  Liu W(刘文)
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Rotating Machinery  Fault Diagnosis  Multi-sensor Fusion  Convolutional Neural Network  Ensemble Model  
A Review on the Meandering of Wind Turbine Wakes 期刊论文
ENERGIES, 2019, 卷号: 12, 期号: 24, 页码: 20
Authors:  Yang XL(杨晓雷);  Sotiropoulos F
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wake meandering  loads  wind turbine