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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
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：257/80  |  提交时间：2023/02/09
load spectrum  computational mechanics  deep learning  data-driven modeling  gated recurrent unit neural network  
Formation of wavy-ring crack in drying droplet of protein solutions 期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2018, 卷号: 61, 期号: 7, 页码: 949-958
作者:  Gao MN(高梦霓);  Huang XF;  Zhao YP(赵亚溥)
Adobe PDF(5041Kb)  |  收藏  |  浏览/下载：571/217  |  提交时间：2018/10/30
Coffee-ring Effect  Spiral Crack  Self-organization  Crack Pattern  Desiccation  
Chip formation dependence of machining velocities in nano-scale by molecular dynamics simulations 期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2014, 卷号: 57, 期号: 12, 页码: 2426-2433
作者:  Su H;  Tang QH(汤奇恒);  Tang, QH (reprint author), Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China.
Adobe PDF(2262Kb)  |  收藏  |  浏览/下载：475/113  |  提交时间：2015/01/23
Molecular Dynamics  Chip Formation  Machining Velocities  Phase Transition  
Numerical investigation on flow and convective heat transfer of aviation kerosene at supercritical conditions 期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2013, 卷号: 56, 期号: 2, 页码: 416-422
作者:  Dang GX(党国鑫);  Zhong FQ(仲峰泉);  Chen LH(陈立红);  Zhang XY(张新宇);  Zhong, FQ (reprint author), Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100190, Peoples R China.
Adobe PDF(990Kb)  |  收藏  |  浏览/下载：1084/432  |  提交时间：2013/03/04
Multi-objective optimization of the streamlined head of high-speed trains based on the Kriging model 期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2012, 卷号: 55, 期号: 12, 页码: 3495-3509
作者:  Yao SB(姚拴宝);  Guo DL(郭迪龙);  Sun ZX(孙振旭);  Yang GW(杨国伟);  Chen DW
Adobe PDF(1421Kb)  |  收藏  |  浏览/下载：1184/483  |  提交时间：2013/01/31
Multi-objective Optimization  Kriging  Genetic Algorithms  Aerodynamic Shape  High-speed Trains