logo
科言猫学术研究的AI总结
language
手机端手机端
  • Phone Feature微信小程序
简体中文简体中文
notice消息通知
博客博客
arrow
返回
Z

Zhen-Ao Li

Heilongjiang Bayi Agricultural University

5H指数
14论文数
88被引数
收录论文 6
发表时间
logo
Collaborative moving regression-based surrogate modeling framework for structural low cycle fatigue life reliability assessment基于协同移动回归的结构低周疲劳寿命可靠性评估代理建模框架
errComputer Methods in Applied Mechanics and Engineering
IF7.3
err2025-07-14
err0
PREAI
errXiao-Wei Dong; Zhen-Ao Li; Jia-Hao Liang; Qing-Long Li; Chun-Yan Zhu; Ming Wang; Wei-Kai Li
err分享
err收藏
Stacking ensemble surrogate modeling method based on decomposed-coordinated strategy for structural low-cycle fatigue life reliability estimation基于分解协调策略的结构低周疲劳寿命可靠性估计的堆叠集成代理建模方法
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2025-05-01
err0
PREAI
errLi, Zhen-Ao; Li, Qing-Long; Liang, Jia-Hao; Zhu, Chun-Yan; Wang, Ming
err分享
err收藏
Vectorial surrogate modeling method based on moving Kriging model for system reliability analysis
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2024-12-01
err0
PREAI
errLi, Zhen-Ao; Dong, Xiao-Wei; Zhu, Chun-Yan; Chen, Chang-Hai; Zhang, Hao
err分享
err收藏
Collaborative modeling-based improved moving Kriging approach for low-cycle fatigue life reliability estimation of mechanical structures
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2024-06-01
err5
PREAI
errZhu, Chun-Yan; Li, Zhen-Ao; Dong, Xiao-Wei; Wang, Ming; Li, Qing-Da
err分享
err收藏
Adaptive optimization deep neural network framework of reliability estimation for engineering structures
errSTRUCTURES
IF4.3
err2024-06-01
err2
PREAI
errZhu, Chun-Yan; Li, Zhen-Ao; Dong, Xiao-Wei; Wang, Ming; Li, Wei-Kai
err分享
err收藏
Neural network-based chaotic crossover method for structural reliability analysis considering time-dependent parameters
errSTRUCTURES
IF4.3
err2023-07-01
err8
PREAI
errDong, Xiao-Wei; Li, Zhen-Ao; Zhang, Hao; Zhu, Chun-Yan; Li, Wei-Kai; Yi, Shu-Juan
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
张浩 封面图
张浩 (Hao Zhang)
H 指数: 58 · 论文数: 1.1K
J
Jiahao Liang
H 指数: 32 · 论文数: 199
M
Ming Wang
H 指数: 22 · 论文数: 145
Q
Qinglong Li
H 指数: 18 · 论文数: 67
S
Shujuan Yi
H 指数: 17 · 论文数: 143
查看更多