CSpace

Browse/Search Results:  1-4 of 4 Help

Selected(0)Clear Items/Page:    Sort:
Ensemble wavelet-learning approach for predicting the effective mechanical properties of concrete composite materials 期刊论文
COMPUTATIONAL MECHANICS, 2022, 页码: 31
Authors:  Linghu, Jiale;  Dong, Hao;  Cui, Junzhi
Favorite  |  View/Download:59/0  |  Submit date:2022/06/21
Concrete composite materials  Weibull distribution  Equivalent mechanical parameters  Artificial neural networks  Wavelet transform  
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
Authors:  Dong, Hao;  Kou, Wenbo;  Han, Junyan;  Linghu, Jiale;  Zou, Minqiang;  Cui, Junzhi
Favorite  |  View/Download:78/0  |  Submit date:2022/04/02
Braided composite materials  macroscopic effective heat transfer conductivities  multi-scale modeling  neural networks  wavelet transform  
High-order three-scale computational method for elastic behavior analysis and strength prediction of axisymmetric composite structures with multiple spatial scales 期刊论文
MATHEMATICS AND MECHANICS OF SOLIDS, 2021, 卷号: 26, 期号: 6, 页码: 905-936
Authors:  Dong, Hao;  Cui, Junzhi;  Nie, Yufeng;  Jin, Ke;  Guan, Xiaofei;  Yang, Zihao
Favorite  |  View/Download:98/0  |  Submit date:2021/10/26
Multiscale asymptotic analysis  mechanical behaviors  axisymmetric composite structures  micro-meso-macro coupled model  HOTS numerical algorithm  
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
Authors:  Dong, Hao;  Nie, Yufeng;  Cui, Junzhi;  Kou, Wenbo;  Zou, Minqiang;  Han, Junyan;  Guan, Xiaofei;  Yang, Zihao
Favorite  |  View/Download:132/0  |  Submit date:2021/04/26
Particulate composites  Effective thermal conductivities  Multiscale modeling  Artificial neural network  Wavelet transform