Modelling fatigue uncertainty by means of nonconstant variance neural networks
Author:
Affiliation:
1. School of Energy, Geoscience, Infrastructure and Society, Institute for Infrastructure and Environment Heriot‐Watt University Edinburgh UK
2. Department of Mechanical and Industrial Engineering, College of Engineering Qatar University Doha Qatar
Funder
Qatar National Research Fund
Publisher
Wiley
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ffe.13759
Reference56 articles.
1. Estimation of fatigue S-N curves of welded joints using advanced probabilistic approach
2. A probabilistic Stüssi function for modelling the S-N curves and its application on specimens made of steel S355J2+N
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4. A mean stress correction model for tensile and compressive mean stress fatigue loadings
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3. A State‐of‐Art Review on Prediction Model for Fatigue Performance of Welded Joints via Data‐Driven Method;Advanced Engineering Materials;2023-02-08
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