Data-driven online prediction of remaining fatigue life of a steel plate based on nonlinear ultrasonic monitoring-Reference-Cited by-同舟云学术

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Data-driven online prediction of remaining fatigue life of a steel plate based on nonlinear ultrasonic monitoring

Published:2024-08 Issue: Volume:142 Page:107356
ISSN:0041-624X
Container-title:Ultrasonics
language:en
Short-container-title:Ultrasonics

Author:

Sun Di,Zhu Wujun,Xiang Yanxun^ORCID,Xuan Fu-Zhen

Publisher

Elsevier BV

Reference43 articles.

1. Fatigue of materials;Suresh,1998

2. Elements of metallurgy and engineering alloys;Campbell,2008

3. Fatigue assessment of metallic materials beyond strain measurement;Starke;Int. J. Fatigue.,2016

4. High-cycle fatigue damage measurement based on electrical resistance change considering variable electrical resistivity and uneven damage;Sun;Int. J. Fatigue.,2004

5. X-ray diffraction study of microstructural changes during fatigue damage initiation in pipe steels: Role of the initial dislocation structure;Pinheiro;Mater. Sci. Eng. a.,2013

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