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A Review on Fatigue Life Prediction Methods for Metals
Joint Authors
Santecchia, E.
Hamouda, A. M. S.
Musharavati, F.
Zalnezhad, E.
Cabibbo, M.
El Mehtedi, M.
Spigarelli, S.
Source
Advances in Materials Science and Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-26, 26 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-27
Country of Publication
Egypt
No. of Pages
26
Abstract EN
Metallic materials are extensively used in engineering structures and fatigue failure is one of the most common failure modes of metal structures.
Fatigue phenomena occur when a material is subjected to fluctuating stresses and strains, which lead to failure due to damage accumulation.
Different methods, including the Palmgren-Miner linear damage rule- (LDR-) based, multiaxial and variable amplitude loading, stochastic-based, energy-based, and continuum damage mechanics methods, forecast fatigue life.
This paper reviews fatigue life prediction techniques for metallic materials.
An ideal fatigue life prediction model should include the main features of those already established methods, and its implementation in simulation systems could help engineers and scientists in different applications.
In conclusion, LDR-based, multiaxial and variable amplitude loading, stochastic-based, continuum damage mechanics, and energy-based methods are easy, realistic, microstructure dependent, well timed, and damage connected, respectively, for the ideal prediction model.
American Psychological Association (APA)
Santecchia, E.& Hamouda, A. M. S.& Musharavati, F.& Zalnezhad, E.& Cabibbo, M.& El Mehtedi, M.…[et al.]. 2016. A Review on Fatigue Life Prediction Methods for Metals. Advances in Materials Science and Engineering،Vol. 2016, no. 2016, pp.1-26.
https://search.emarefa.net/detail/BIM-1096491
Modern Language Association (MLA)
Santecchia, E.…[et al.]. A Review on Fatigue Life Prediction Methods for Metals. Advances in Materials Science and Engineering No. 2016 (2016), pp.1-26.
https://search.emarefa.net/detail/BIM-1096491
American Medical Association (AMA)
Santecchia, E.& Hamouda, A. M. S.& Musharavati, F.& Zalnezhad, E.& Cabibbo, M.& El Mehtedi, M.…[et al.]. A Review on Fatigue Life Prediction Methods for Metals. Advances in Materials Science and Engineering. 2016. Vol. 2016, no. 2016, pp.1-26.
https://search.emarefa.net/detail/BIM-1096491
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1096491