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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：61/2  |  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：45/1  |  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：148/0  |  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：255/80  |  提交时间：2023/02/09
load spectrum  computational mechanics  deep learning  data-driven modeling  gated recurrent unit neural network