2016
DOI: 10.1016/j.ijfatigue.2016.01.014
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On the strengthening effect of increasing cycling frequency on fatigue behavior of some polymers and their composites: Experiments and modeling

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Cited by 87 publications
(61 citation statements)
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“…However, at higher frequency, fatigue becomes cycle dominated. This behaviour was corroborated by results from Eftekhari and Fatemi [16,22]. The accumulation of fatigue induced creep strains was also reported by Kujawski and Eyllin [23] for [±45] 5s glass-epoxy composites at room temperature.…”
Section: Introductionsupporting
confidence: 84%
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“…However, at higher frequency, fatigue becomes cycle dominated. This behaviour was corroborated by results from Eftekhari and Fatemi [16,22]. The accumulation of fatigue induced creep strains was also reported by Kujawski and Eyllin [23] for [±45] 5s glass-epoxy composites at room temperature.…”
Section: Introductionsupporting
confidence: 84%
“…Finally, Eftekhari and Fatemi [16,22] have used the model by Epaarachchi and Clausen [13] -which is also the basis of the current work -in order to predict the effects of frequency and temperature on several neat, talc filled or short glass fibres reinforced thermoplastics. In these papers, they found that Epaarachchi and Clausen's model provides a good fit on experimental results and used a Larson-Miller type relationship to account for viscoelastic effects that were present at higher temperatures or lower load rates.…”
Section: Discussionmentioning
confidence: 99%
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“…A Larson–Miller type parameter was successfully used for these materials to correlate stress amplitude, cycling frequency, test temperature and cycles to failure for each materials at a given R ratio, expressed as: Sa=A0.12emT0.12em()normallogNff×3600+CLMP1000B where T is the test temperature, f is the cycling frequency and C LMP is a material constant. A′ and B′ are material constants and their values were reported in . The Larson–Miller master curves are shown in Fig.…”
Section: Temperature Effectmentioning
confidence: 99%
“…A fatigue life prediction model based on strength degradation of a polymeric material under constant amplitude loading developed by Epaarachchi and Clausen was applied to the experimental fatigue data in this study. This model was used in the study of Eftekhari and Fatemi to consider the strengthening effect of frequency on fatigue behaviour of PP, PP‐T and PP‐G. A variation of this model which does not consider the effect of frequency was also applied to PA6 and PBT fatigue data (materials for which the strengthening effect of frequency is negligible) by Mortazavian and Fatemi to consider the effect of temperature, anisotropy and mean stress.…”
Section: Correlation Of Fatigue Data With a General Modelmentioning
confidence: 99%