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p A Mixed Wavelet-Learning Method of Predicting Macroscopic Effective Heat Transfer Conductivities of Braided Composite Materials 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2022, 卷号: 31, 期号: 2, 页码: 593-625
作者:  Dong, Hao;  Kou, Wenbo;  Han, Junyan;  Linghu, Jiale;  Zou, Minqiang;  Cui, Junzhi
收藏  |  浏览/下载：161/0  |  提交时间：2022/04/02
Braided composite materials  macroscopic effective heat transfer conductivities  multi-scale modeling  neural networks  wavelet transform  
A wavelet-based learning approach assisted multiscale analysis for estimating the effective thermal conductivities of particulate composites 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 卷号: 374, 页码: 28
作者:  Dong, Hao;  Nie, Yufeng;  Cui, Junzhi;  Kou, Wenbo;  Zou, Minqiang;  Han, Junyan;  Guan, Xiaofei;  Yang, Zihao
收藏  |  浏览/下载：196/0  |  提交时间：2021/04/26
Particulate composites  Effective thermal conductivities  Multiscale modeling  Artificial neural network  Wavelet transform  
Heat capacity and thermal expansion of metal crystalline materials based on dynamic thermal vibration 期刊论文
COMPUTATIONAL MECHANICS, 2019, 卷号: 63, 期号: 5, 页码: 971-984
作者:  Zhang, Jieqiong;  Cui, Junzhi;  Yang, Zihao;  Yu, Yifan
收藏  |  浏览/下载：183/0  |  提交时间：2020/01/10
Metal crystalline materials  Heat capacity  Thermal expansion coefficient  Dynamic thermal vibration  Temperature dependence