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Isogeometric Convolution Hierarchical Deep-learning Neural Network: Isogeometric analysis with versatile adaptivity 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 卷号: 417, 页码: 46
作者:  Zhang, Lei;  Park, Chanwook;  Lu, Ye;  Li, Hengyang;  Mojumder, Satyajit;  Saha, Sourav;  Guo, Jiachen;  Li, Yangfan;  Abbott, Trevor;  Wagner, Gregory J.;  Tang, Shaoqiang;  Liu, Wing Kam
Adobe PDF(9021Kb)  |  收藏  |  浏览/下载：56/0  |  提交时间：2024/01/08
Convolution isogeometric analysis (C-IGA)  Convolution hierarchical deep-learning neural network (C-hiDeNN)  Software 2.0  r-h-p-s-a adaptive finite element method (FEM)  High-order smoothness and convergence  
RelaxNet: A structure-preserving neural network to approximate the Boltzmann collision operator 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 490, 页码: 112317
作者:  Xiao TB(肖天白);  Frank, Martin
Adobe PDF(5203Kb)  |  收藏  |  浏览/下载：34/0  |  提交时间：2023/09/05
Kinetic theory  Computational fluid dynamics  Scientific machine learning  Artificial neural network  
Explainability analysis of neural network-based turbulence modeling for transonic axial compressor rotor flows 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 141, 页码: 108542
作者:  Wu CT(吴楚畋);  Wang SZ(王士召);  Zhang XL(张鑫磊);  He GW(何国威)
Adobe PDF(3908Kb)  |  收藏  |  浏览/下载：82/0  |  提交时间：2023/09/26
Explainability  Ensemble Kalman method  Turbulence model  Axial compressor rotor  Neural network  Machine learning  
Rapid evaluation of capillary pressure and relative permeability for oil-water flow in tight sandstone based on a physics-informed neural network 期刊论文
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY, 2023
作者:  Ji LL(姬莉莉);  Xu, Fengyang;  Lin M(林缅);  Jiang WB(江文滨);  Cao GH(曹高辉);  Wu, Songtao;  Jiang, Xiaohua
Adobe PDF(7570Kb)  |  收藏  |  浏览/下载：36/0  |  提交时间：2023/09/05
Two-phase flow  Capillary pressure curve  Relative permeability curve  Tight sandstone  Physics-informed neural network  
A thermal load identification method based on physics-guided neural network for honeycomb sandwich structures 期刊论文
SMART MATERIALS AND STRUCTURES, 2023, 卷号: 32, 期号: 7, 页码: 75008
作者:  Du WQ(杜文琪);  Yang LK(杨乐凯);  Lu LL(路玲玲);  Le J(乐杰);  Yu MK(于明凯);  Song HW(宋宏伟);  Xing, Xiaodong;  Huang, Chenguang
Adobe PDF(10877Kb)  |  收藏  |  浏览/下载：82/0  |  提交时间：2023/06/15
thermal load identification  physics-guided neural network  physics-guided loss function  thermal feature parameters  laser irradiation  
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  
A practical approach to flow field reconstruction with sparse or incomplete data through physics informed neural network 期刊论文
ACTA MECHANICA SINICA, 2023, 卷号: 39, 期号: 3, 页码: 322302
作者:  Xu SF(许盛峰);  Sun ZX(孙振旭);  Huang RF(黄仁芳);  Guo DL(郭迪龙);  Yang GW(杨国伟);  Ju SJ(鞠胜军)
Adobe PDF(4793Kb)  |  收藏  |  浏览/下载：65/1  |  提交时间：2023/04/20
Physics informed neural network  Flow field reconstruction  Particle image velocimetry  Cosine annealing algorithm  Experimental fluid dynamics  
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：250/78  |  提交时间：2023/02/09
load spectrum  computational mechanics  deep learning  data-driven modeling  gated recurrent unit neural network  
Using ANN to study VIV of flexible cylinders in uniform and shear flows 期刊论文
OCEAN ENGINEERING, 2022, 卷号: 259, 页码: 9
作者:  Song JX(宋吉祥);  Chen WM(陈伟民);  Guo SX(郭双喜);  Yan DB(严定帮)
Adobe PDF(2637Kb)  |  收藏  |  浏览/下载：199/40  |  提交时间：2022/08/22
Flexible cylinder  Vortex -induced vibration  Neural network  
Accelerating the Layup Sequences Design of Composite Laminates via Theory-Guided Machine Learning Models 期刊论文
POLYMERS, 2022, 卷号: 14, 期号: 15, 页码: 14
作者:  Liao, Zhenhao;  Qiu C(邱诚);  Yang, Jun;  Yang, Jinglei;  Yang, Lei
Adobe PDF(2225Kb)  |  收藏  |  浏览/下载：208/49  |  提交时间：2022/09/16
composite laminate  mechanical property  layup design  finite element simulation  neural network