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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
Authors:  Chen XJ(陈贤佳);  Yuan, Zheng;  Li, Qiang;  Sun, ShouGuang;  Wei YJ(魏宇杰)
Adobe PDF(2512Kb)  |  Favorite  |  View/Download:309/95  |  Submit date:2023/02/09
load spectrum  computational mechanics  deep learning  data-driven modeling  gated recurrent unit neural network  
The role of material and geometric nonlinearities and damping effects in designing mechanically tunable acoustic metamaterials 期刊论文
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2021, 卷号: 197, 页码: 16
Authors:  Ning, Shaowu;  Chu, Dongyang;  Jiang H(姜恒);  Yang, Fengyuan;  Liu, Zhanli;  Zhuang, Zhuo
Adobe PDF(9277Kb)  |  Favorite  |  View/Download:293/83  |  Submit date:2021/05/31
Mechanically tunable acoustic metamaterials  Locally resonant  Bragg scattering  Band gaps  Material and geometrical nonlinearities  Damping effect