跳到主要导航
跳到搜索
跳到主要内容
北京理工大学 首页
English
中文
首页
师资队伍
研究单位
科研成果
奖项
按专业知识、名称或附属进行搜索
A physically consistent framework for fatigue life prediction using probabilistic physics-informed neural network
Taotao Zhou, Shan Jiang
*
,
Te Han
, Shun Peng Zhu, Yinan Cai
*
此作品的通讯作者
China University of Petroleum - Beijing
Ministry of Emergency Management
Minzu University of China
Tsinghua University
University of Electronic Science and Technology of China
Massachusetts Institute of Technology
科研成果
:
期刊稿件
›
文章
›
同行评审
68
引用 (Scopus)
综述
指纹
指纹
探究 'A physically consistent framework for fatigue life prediction using probabilistic physics-informed neural network' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Engineering
Fatigue Life Prediction
100%
Fatigue Life
66%
Underpinnings
66%
Test Data
33%
Structural Integrity
33%
Backpropagation
33%
Physical Constraint
33%
Loss Function
33%
Mechanical Fatigue Test
33%
Likelihood Function
33%
Network Application
33%
Network Training
33%
Continuous Function
33%
Failure Data
33%
Life Distribution
33%
Material Science
Fatigue of Materials
100%