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Fatigue & Fracture of Engineering Materials & Structures
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Quantitative thermographic method for fatigue life prediction under variable amplitude loading

Authors: Ensheng Feng; Xiaogang Wang; Chao Jiang; Vincenzo Crupi;

Quantitative thermographic method for fatigue life prediction under variable amplitude loading

Abstract

AbstractQuantitative thermographic methodology (QTM), which takes energy dissipation as a fatigue indicator, has been successfully applied to predict the fatigue life of materials and welded joints under constant amplitude loading. This study advances the QTM approach for predicting the fatigue life under variable amplitude loading in both low and high cycle fatigue regimes. Experimental data, obtained by fatigue tests under variable amplitude loading, were used in order to apply the developed QTM approach and to demonstrate that it is able to take into account the loading sequence effect. Good predictions of the fatigue life were achieved.

Country
Italy
Related Organizations
Keywords

energy dissipation, fatigue, S-N curve, thermographic method, variable amplitude loading

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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!
14
Top 10%
Average
Top 10%
Green
hybrid