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AuthorSantecchia, E.
AuthorHamouda, A. M. S.
AuthorMusharavati, F.
AuthorZalnezhad, E.
AuthorCabibbo, M.
AuthorEl Mehtedi, M.
AuthorSpigarelli, S.
Available date2021-09-07T06:16:12Z
Publication Date2016
Publication NameAdvances in Materials Science and Engineering
ResourceScopus
ISSN16878434
URIhttp://dx.doi.org/10.1155/2016/9573524
URIhttp://hdl.handle.net/10576/22754
AbstractMetallic 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. 2016 E. Santecchia et al.
Languageen
PublisherHindawi Limited
SubjectContinuum damage mechanics
Elasticity
Forecasting
Metals
Stochastic models
Stochastic systems
Strain
Structural design
Damage accumulation
Energy-based methods
Engineering structures
Fatigue life prediction
Fatigue life prediction models
Linear damage rule
Simulation systems
Variable amplitude loading
Fatigue damage
TitleA Review on Fatigue Life Prediction Methods for Metals
TypeArticle Review
Volume Number2016
dc.accessType Open Access


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