Artificial intelligence‐assisted fatigue fracture recognition based on morphing and fully convolutional networks-Reference-Cited by-同舟云学术

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Artificial intelligence‐assisted fatigue fracture recognition based on morphing and fully convolutional networks

Published:2022-04-06 Issue:6 Volume:45 Page:1690-1702
ISSN:8756-758X
Container-title:Fatigue & Fracture of Engineering Materials & Structures
language:en
Short-container-title:Fatigue Fract Eng Mat Struct

Author:

Lyu Yetao¹,Yang Zi¹,Liang Hao²,Zhang Beini³,Ge Ming⁴,Liu Rui⁵,Zhang Zhefeng⁵,Yang Haokun²^ORCID

Affiliation:

1. Robotics and Artificial Intelligence Division Hong Kong Productivity Council (HKPC) Hong Kong China

2. Smart Manufacturing Division Hong Kong Productivity Council (HKPC) Hong Kong China

3. Department of Physics Hong Kong University of Science and Technology (HKUST) Hong Kong China

4. Hong Kong Industrial Artificial Intelligence and Robotics Centre (FLAIR) Hong Kong China

5. Shi‐Changxu Innovation Center for Advanced Materials, Institute of Metal Research Chinese Academy of Sciences Shenyang China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ffe.13693

Reference37 articles.

1. Practical Plant Failure Analysis

2. Fatigue Failure Analysis Case Studies

3. An expert system approach to fracture mechanics

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