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A novel approach to compute the spatial gradients of enriching functions in the X-FEM with a hybrid representation of cracks 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 卷号: 417, 页码: 21
作者:  Liu CQ(刘传奇);  Wei YJ(魏宇杰)
Adobe PDF(1455Kb)  |  收藏  |  浏览/下载：56/1  |  提交时间：2023/10/30
X-FEM  Level sets  Hybrid representation  WENO  
Engineering perspective on bird flight: Scaling, geometry, kinematics and aerodynamics 期刊论文
PROGRESS IN AEROSPACE SCIENCES, 2023, 卷号: 142, 页码: 47
作者:  Liu, Tianshu;  Wang SZ(王士召);  Liu, Hao;  He GW(何国威)
Adobe PDF(39199Kb)  |  收藏  |  浏览/下载：38/0  |  提交时间：2024/01/22
Bird  Flight  Scaling  Flapping wing  Airfoil  Wing geometry  Wing kinematics  Aerodynamics  Vortex  Lift  Drag  Thrust  Thin-airfoil theory  Lifting-line theory  Wake models  Kutta-Joukowski theorem  Actuator disk model  Vortex ring model  CFD  Multiple joint arm system  
A novel defect based fatigue damage model coupled with an optimized neural network for high cycle fatigue analysis of casting alloys with surface defect 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 170, 页码: 107538
作者:  Gao, Tongzhou;  Ji, Chenhao;  Zhan, Zhixin;  Huang, Yingying;  Liu CQ(刘传奇);  Hu, Weiping;  Meng, Qingchun
Adobe PDF(18205Kb)  |  收藏  |  浏览/下载：55/1  |  提交时间：2023/04/20
High cycle fatigue  Casting alloys  Surface defect  Damage model  Optimized neural network  
An interface-resolved phase-change model based on velocity decomposition 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 475, 页码: 28
作者:  Lu M(卢敏);  Yang ZX(杨子轩);  He GW(何国威)
Adobe PDF(3953Kb)  |  收藏  |  浏览/下载：145/0  |  提交时间：2023/02/20
Phase-change model  Velocity decomposition  Multi-phase flow  
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
作者:  Chen XJ(陈贤佳);  Yuan, Zheng;  Li, Qiang;  Sun, ShouGuang;  Wei YJ(魏宇杰)
Adobe PDF(2512Kb)  |  收藏  |  浏览/下载：248/76  |  提交时间：2023/02/09
load spectrum  computational mechanics  deep learning  data-driven modeling  gated recurrent unit neural network  
Parametric and V&V study in a fundamental CFD process: revisiting the lid-driven cavity flow 期刊论文
AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2022, 页码: 16
作者:  Ge, Mingming;  Zhang XL(张鑫磊);  Brookshire, Kaleb;  Coutier-Delgosha, Olivier
Adobe PDF(5383Kb)  |  收藏  |  浏览/下载：197/45  |  提交时间：2022/01/24
Lid-driven cavity  Fluid dynamics  Computational fluid dynamics  Numerical method  Verification and validation  
HiDeNN-TD: Reduced-order hierarchical deep learning neural networks 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 卷号: 389, 页码: 33
作者:  Zhang L(张磊);  Lu, Ye;  Tang, Shaoqiang;  Liu, Wing Kam
Adobe PDF(4228Kb)  |  收藏  |  浏览/下载：196/46  |  提交时间：2022/02/17
Hierarchical deep-learning neural networks  Proper generalized decomposition  Canonical tensor decomposition  Reduced order finite element method  Convergence study and error bound  
Mobility of the {0110} inversion domain boundary in ZnO nanopillars 期刊论文
MATERIALS LETTERS, 2021, 卷号: 305, 页码: 3
作者:  Wang J(王军);  Zhou, Min;  Yang R(杨荣);  Xiao P(肖攀);  Ke FJ(柯孚久);  Lu CS(卢春生)
Adobe PDF(1069Kb)  |  收藏  |  浏览/下载：246/43  |  提交时间：2021/11/01
ZnO  Inversion domain boundary  Apparent activation energy  Microstructure  Simulation and modelling  
Residual-based closure model for density-stratified incompressible turbulent flows 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 卷号: 386, 页码: 38
作者:  Zhu LX(朱力行);  Masud, Arif
Adobe PDF(4213Kb)  |  收藏  |  浏览/下载：240/45  |  提交时间：2021/11/01
Variational multiscale method  Hierarchical methods  Density stratification  Incompressible turbulent flows  Boussinesq approximation  
Chemical short-range order in Fe50Mn30Co10Cr10 high-entropy alloy 期刊论文
MATERIALS TODAY NANO, 2021, 卷号: 16, 页码: 11
作者:  Liu D(刘动);  Wang, Q.;  Wang J(王健);  Chen XF(陈雪飞);  Jiang P(姜萍);  Yuan FP(袁福平);  Cheng, Z. Y.;  Ma, E.;  Wu XL(武晓雷)
Adobe PDF(4939Kb)  |  收藏  |  浏览/下载：387/103  |  提交时间：2021/11/15
Chemical short-range order  High-entropy alloy  Spatially correlated distribution  Fe50Mn30Co10Cr10