Physical hierarchical neural network for low cycle fatigue life prediction of compacted graphite cast iron based on small data-Reference-Cited by-同舟云学术

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Physical hierarchical neural network for low cycle fatigue life prediction of compacted graphite cast iron based on small data

Published:2024-11 Issue: Volume:188 Page:108509
ISSN:0142-1123
Container-title:International Journal of Fatigue
language:en
Short-container-title:International Journal of Fatigue

Author:

Jing Guoxi^ORCID,Ma Tian^ORCID,Wang Zengquan,Fu Yafei,Chen Guang,Ma Teng,Sun Xiuxiu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference57 articles.

1. Challenges toward carbon neutrality in China: Strategies and countermeasures;Zhao;Resour Conserv Recycl,2022

2. High-temperature fatigue damage mechanism and strength prediction of vermicular graphite iron;Chen;Int J Fatigue,2023

3. Investigation into diesel engine cylinder head failure;Jing;Eng Fail Anal,2018

4. Influence of temperature on the high-cycle fatigue properties of compacted graphite iron;Qiu;Int J Fatigue,2018

5. Study on thermal fatigue behaviors of two kinds of vermicular graphite cast irons;Zhang;Mater Sci Eng A,2021

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