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A computational method for the load spectra of large-scale structures with a data-driven learning algorithm 期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2023, 卷号: 66, 期号: 1, 页码: 141-154
Authors:  Chen XJ(陈贤佳);  Yuan, Zheng;  Li, Qiang;  Sun, ShouGuang;  Wei YJ(魏宇杰)
Adobe PDF(2512Kb)  |  Favorite  |  View/Download：309/95  |  Submit date：2023/02/09
load spectrum  computational mechanics  deep learning  data-driven modeling  gated recurrent unit neural network  
Machine Learning Method for Fatigue Strength Prediction of Nickel-Based Superalloy with Various Influencing Factors 期刊论文
MATERIALS, 2023, 卷号: 16, 期号: 1, 页码: 13
Authors:  Guo, Yiyun;  Rui SS(芮少石);  Xu, Wei;  Sun CQ(孙成奇)
Adobe PDF(9664Kb)  |  Favorite  |  View/Download：93/6  |  Submit date：2023/02/09
machine learning  nickel-based superalloy  fatigue strength prediction  temperature  stress ratio  
A 3D Polycrystalline Plasticity Model for Isotropic Linear Evolution of Intragranular Misorientation with Mesoscopic Plastic Strain in Stretched or Cyclically Deformed Metals 期刊论文
METALS, 2022, 卷号: 12, 期号: 12, 页码: 21
Authors:  Rui SS(芮少石);  Su, Yue;  Zhao, Jia-Min;  Shang, Zhi-Hao;  Shi, Hui-Ji
Adobe PDF(6375Kb)  |  Favorite  |  View/Download：326/118  |  Submit date：2023/02/03
2D-EBSD mapping  intragranular misorientation  KAM and GROD  isotropic linear evolution  mesoscopic plastic strain  3D polycrystalline plasticity model  
Deep learning method for the super-resolution reconstruction of small-scale motions in large-eddy simulation 期刊论文
AIP ADVANCES, 2022, 卷号: 12, 期号: 12, 页码: 9
Authors:  Zhao QY(赵庆义);  Jin GD(晋国栋);  Zhou ZD(周志登)
Adobe PDF(10288Kb)  |  Favorite  |  View/Download：175/49  |  Submit date：2023/02/03
Phase-Field Simulation on the Effect of Second-Phase Particles on Abnormal Growth of Goss Grains in Fe-3%Si Steels 期刊论文
NANOMATERIALS, 2022, 卷号: 12, 期号: 23, 页码: 20
Authors:  Wang,Mingtao;  Xu,Yongkai;  Hu,Jinlong;  Fang,Feng;  Jin,Jianfeng;  Jia,Tao;  Peng Q(彭庆)
Adobe PDF(10062Kb)  |  Favorite  |  View/Download：257/87  |  Submit date：2023/02/03
phase-field simulation  abnormal grain growth  Fe-3%Si steel  second-phase particle  Goss grain  
Dynamic Impact of High-Density Aluminum Foam 期刊论文
ACTA MECHANICA SOLIDA SINICA, 2022, 卷号: 35, 期号: 2, 页码: 198-214
Authors:  Peng Q(彭青);  Xie JJ(谢季佳);  Ma HS(马寒松);  Ling, X;  Liu XM(刘小明);  Wei YG(魏悦广)
Adobe PDF(2146Kb)  |  Favorite  |  View/Download：387/127  |  Submit date：2021/08/30
High density aluminum  Foam Deshpande-Fleck model  Finite element method  Impact analysis  Plastic wave  
High-cycle and very-high-cycle fatigue lifetime prediction of additively manufactured AlSi10Mg via crystal plasticity finite element method 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2022, 卷号: 155, 页码: 11
Authors:  Zhang JM(张佳妹);  Li JH(李江华);  Wu, Shengchuan;  Zhang, Wenjie;  Sun JY(孙经雨);  Qian GA(钱桂安)
Adobe PDF(8939Kb)  |  Favorite  |  View/Download：404/124  |  Submit date：2021/11/29
Crystal plasticity  Additive manufacturing  Very-high-cycle fatigue  AlSi10Mg alloy  Defects  
Contact-Resistance-Free Stretchable Strain Sensors with High Repeatability and Linearity 期刊论文
ACS NANO, 2022, 卷号: 16, 期号: 1, 页码: 541-553
Authors:  Li S(李爽);  Liu GD(刘国栋);  Li, Rui;  Li QL(李沁蓝);  Zhao Y(赵阳);  Huang, Mingqi;  Zhang MY(张懋意);  Yin SZ(尹世珍);  Zhou, Yixin;  Tang, Hao;  Wang, Liwu;  Fang, Guanhui;  Su YW(苏业旺)
Adobe PDF(8626Kb)  |  Favorite  |  View/Download：2344/2004  |  Submit date：2022/02/17
flexible electronics  stretchable strain sensors  high repeatability  high linearity  Tianwen-1  
A Direct-Forcing Immersed Boundary Method for Incompressible Flows Based on Physics-Informed Neural Network 期刊论文
Fluids, 2022, 卷号: 7, 期号: 2, 页码: 56
Authors:  Huang Y(黄毅);  Zhang ZY(张治愚);  Zhang X(张星)
Adobe PDF(6539Kb)  |  Favorite  |  View/Download：402/99  |  Submit date：2022/01/27
physics-informed neural networks (PINN)  direct-forcing immersed boundary method  incompressible laminar flow  circular cylinder  
Assessment of Regularized Ensemble Kalman Method for Inversion of Turbulence Quantity Fields 期刊论文
AIAA JOURNAL, 2022, 卷号: 60, 期号: 1, 页码: 3-13
Authors:  Zhang XL(张鑫磊);  Xiao, Heng;  He GW(何国威)
Adobe PDF(1913Kb)  |  Favorite  |  View/Download：293/72  |  Submit date：2022/01/24