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Fatigue & Fracture of Engineering Materials & Structures
Article . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref
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ZENODO
Article . 2021
License: CC BY
Data sources: ZENODO
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Statistical models for estimating the fatigue life, the stress–life relation, and the P‐S–N curves of metallic materials in Very High Cycle Fatigue: A review

Authors: Tridello, Andrea; Boursier Niutta, Carlo; Rossetto, Massimo; Berto, Filippo; Paolino, Davide S.;

Statistical models for estimating the fatigue life, the stress–life relation, and the P‐S–N curves of metallic materials in Very High Cycle Fatigue: A review

Abstract

AbstractThe research on the Very High Cycle Fatigue (VHCF) response of materials is fundamental to guarantee a safe design of structural components. Researchers develop models for the fatigue life in VHCF, aiming at assessing the stress–life relation and, accordingly, the probabilistic S–N (P‐S–N) curves. In the paper, the models for the stress–life relation in VHCF are comprehensively reviewed. The models are classified according to the approach followed for defining the stress–life dependency, that is, power law, probabilistic, fracture mechanics, or Paris law‐based approach. The number of failure modes that can be modeled, the statistical distribution for the fatigue life, and the characteristics of the estimated P‐S–N curves are also reviewed by analyzing the fitting capability of experimental datasets for each model. This review is supposed to highlight the strengths and weaknesses of the currently available models and guide the future research.

Country
Italy
Keywords

fatigue limit, FGA, duplex S-N curves, statistical model, ultrasonic fatigue tests, very high cycle fatigue (VHCF), step-wise curves

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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