Probabilistic Fatigue Life Prediction of Dissimilar Material Weld Using Accelerated Life Method and Neural Network Approach

Welding alloy 617 with other metals and alloys has been receiving significant attention in the last few years. It is considered to be the benchmark for the development of economical hybrid structures to be used in different engineering applications. The differences in the physical and metallurgical...

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Veröffentlicht in:	Computation Jg. 7; H. 1; S. 10
Hauptverfasser:	Ahmad, Hafiz Waqar, Hwang, Jeong Ho, Javed, Kamran, Chaudry, Umer Masood, Bae, Dong Ho
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 02.02.2019
Schlagworte:	accelerated life testing Accelerated life tests Algorithms Alternative energy sources artificial neural network Artificial neural networks Bayesian analysis bayesian regularization algorithm Carbon dioxide Climate change Corrosion Dissimilar material joining dissimilar material weld Dissimilar materials Dissimilar metals Efficiency Environmental impact Failure modes Fatigue failure Fatigue life fatigue life prediction Fatigue tests Hybrid structures Industrial plant emissions Life prediction Load Metal fatigue Metallurgy Neural networks Nickel base alloys Power plants Regularization Renewable resources Solar energy Statistical analysis Steel alloys Superalloys Weibull distribution Welded joints Welded structures
ISSN:	2079-3197, 2079-3197
Online-Zugang:	Volltext
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