Prediction of fatigue life of metallic structures with welded joints using automatic learning systems-Reference-Cited by-同舟云学术

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Prediction of fatigue life of metallic structures with welded joints using automatic learning systems

Published:2004-09 Issue:3 Volume:1 Page:255-270
ISSN:1569-1713
Container-title:International Journal of Mechanics and Materials in Design
language:en
Short-container-title:Int J Mech Mater Des

Author:

Huang Jun,Nemat-Nasser Sia,Zarka Joseph

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

http://link.springer.com/content/pdf/10.1007/s10999-005-0166-y.pdf

Reference10 articles.

1. Huang, J. (2002). A Study on Fatigue of Welded Structures: Predictive Modeling Based on Automatic Learning, Numerical Analysis, and Experimental Results and Experimental Results. Thesis (Ph.D.)?University of California, San Diego, (T 3.6. H785 2002).

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting multiaxial fatigue life of FGH96 superalloy based on machine learning models by considering failure process and loading paths;International Journal of Fatigue;2023-10

2. A process-data-driven BP neural network model for predicting interval-valued fatigue life of metals;Engineering Fracture Mechanics;2022-12

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