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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：54/0  |  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  
Dynamic Parameter Optimization of High-Speed Pantograph Based on Swarm Intelligence and Machine Learning 期刊论文
INTERNATIONAL JOURNAL OF APPLIED MECHANICS, 2023, 卷号: 15, 期号: 9, 页码: 2350078
作者:  Zhou R(周睿);  Xu XH(许向红)
Adobe PDF(1896Kb)  |  收藏  |  浏览/下载：52/0  |  提交时间：2023/10/23
Contact force of pantograph-catenary system  selective crow search algorithm  surrogate model  multi-parameter optimization  
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：35/0  |  提交时间：2023/09/05
Two-phase flow  Capillary pressure curve  Relative permeability curve  Tight sandstone  Physics-informed neural network  
Helical model based on artificial neural network for large eddy simulation of compressible wall-bounded turbulent flows 期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 4, 页码: 45120
作者:  Liu, Wanhai;  Qi H(齐涵);  Shi, Haoyu;  Yu ZP(于长平);  Li XL(李新亮)
Adobe PDF(2895Kb)  |  收藏  |  浏览/下载：42/0  |  提交时间：2023/06/15
Artificial neural network based nonlinear algebraic models for large eddy simulation of compressible wall bounded turbulence 期刊论文
JOURNAL OF FLUID MECHANICS, 2023, 卷号: 960, 页码: A4
作者:  Xu, Dehao;  Wang, Jianchun;  Yu ZP(于长平);  Chen, Shiyi
Adobe PDF(2749Kb)  |  收藏  |  浏览/下载：42/0  |  提交时间：2023/04/20
machine learning  turbulence modelling  
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：247/76  |  提交时间：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
作者:  Guo, Yiyun;  Rui SS(芮少石);  Xu, Wei;  Sun CQ(孙成奇)
Adobe PDF(9664Kb)  |  收藏  |  浏览/下载：72/0  |  提交时间：2023/02/09
machine learning  nickel-based superalloy  fatigue strength prediction  temperature  stress ratio  
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
作者:  Zhao QY(赵庆义);  Jin GD(晋国栋);  Zhou ZD(周志登)
Adobe PDF(10288Kb)  |  收藏  |  浏览/下载：125/35  |  提交时间：2023/02/03
Artificial neural network based response surface for data-driven dimensional analysis 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 459, 页码: 19
作者:  Xu ZY(许昭越);  Zhang XL(张鑫磊);  Wang SZ(王士召);  He GW(何国威)
Adobe PDF(2241Kb)  |  收藏  |  浏览/下载：333/30  |  提交时间：2022/07/18
Artificial neural network  Response surface  Data-driven dimensional analysis  Machine learning  Fluid-structure interaction