A Review on Fatigue Life Prediction Methods for Metals
Author | Santecchia, E. |
Author | Hamouda, A. M. S. |
Author | Musharavati, F. |
Author | Zalnezhad, E. |
Author | Cabibbo, M. |
Author | El Mehtedi, M. |
Author | Spigarelli, S. |
Available date | 2021-09-07T06:16:12Z |
Publication Date | 2016 |
Publication Name | Advances in Materials Science and Engineering |
Resource | Scopus |
ISSN | 16878434 |
Abstract | 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. 2016 E. Santecchia et al. |
Language | en |
Publisher | Hindawi Limited |
Subject | Continuum 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 |
Type | Article Review |
Volume Number | 2016 |
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Mechanical & Industrial Engineering [1342 items ]