2007
DOI: 10.1016/j.ijfatigue.2006.03.015
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Probabilistic high cycle fatigue behaviour prediction based on global approach criteria☆

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Cited by 28 publications
(12 citation statements)
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“…Then, shot peening HCF reliability predictions and obtained iso-probabilistic Crossland diagrams showed a good agreement with experimental results. Sghaier et al [16] presented a methodology to predict the reliability of metallic parts, according to their HCF behavior. They utilized the multi-axial Crossland criterion, in the case of normally distributed in-phase fully reversed torsion and bending loadings and HCF material characteristic parameters.…”
Section: Matec Web Of Conferences 165 10012 (2018)mentioning
confidence: 99%
“…Then, shot peening HCF reliability predictions and obtained iso-probabilistic Crossland diagrams showed a good agreement with experimental results. Sghaier et al [16] presented a methodology to predict the reliability of metallic parts, according to their HCF behavior. They utilized the multi-axial Crossland criterion, in the case of normally distributed in-phase fully reversed torsion and bending loadings and HCF material characteristic parameters.…”
Section: Matec Web Of Conferences 165 10012 (2018)mentioning
confidence: 99%
“…It has to be mentioned here that the dispersions due to the material have a significant effect in fatigue behavior, which is studied in Ref. [31]. To simplify matter, this paper does not take into account the dispersions of material, and the equivalent von Mises stress method and the proposed method were carried out in a deterministic way, and used experimental fatigue constants corresponding to failure probability of 50% which is often applied in engineering.…”
Section: Experimental Verification Of the Proposed Modelmentioning
confidence: 99%
“…Fatigue-life prediction can be generally classified into two approaches: the stress (strain)-life approach and the fracture mechanics-based approach [10,11]. The stress-based approaches can be classified into six categories: empirical equivalent stress model [12,13], stress invariants model [14][15][16][17], average stress model [18], critical plane-based model [19][20][21][22][23][24][25], gradient method [26] and statistical volume method [27][28][29]. Although there are many proposed models for multiaxial fatigue damage modeling, most of them are limited to specific materials or loading conditions [18].…”
Section: Fatigue Criterionmentioning
confidence: 99%