2010
DOI: 10.1016/j.ijfatigue.2009.03.021
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Microstructure-sensitive modeling of high cycle fatigue

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Cited by 121 publications
(65 citation statements)
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“…This is consistent with previous observations of increasing probability of FCI due to subsurface mechanisms at increased numbers of cycles [15], a trend also predicted by Przybyla et al [46] for the HCF regime, using extreme value statistics.…”
Section: Micromechanical Simulationssupporting
confidence: 93%
“…This is consistent with previous observations of increasing probability of FCI due to subsurface mechanisms at increased numbers of cycles [15], a trend also predicted by Przybyla et al [46] for the HCF regime, using extreme value statistics.…”
Section: Micromechanical Simulationssupporting
confidence: 93%
“…A range of FIPs was considered based on variations of accumulated slip, energy dissipation, and tensile stress, implemented in a non-local formalism. McDowell [52][53][54] has pioneered FIPs because of the complexity of cyclic microplasticity and damage formation in HCF, since they provide a computable parameter with which differing microstructures may be ranked in fatigue. In [52], extreme value hotspots that determine the low probability of failure in HCF are introduced which relate to weighting factors on the FIPs in spatial correlations between factors thought to drive fatigue (eg inclusions, grain size, orientation combination).…”
Section: Nucleation Criteria and Microcracksmentioning
confidence: 99%
“…McDowell [52][53][54] has pioneered FIPs because of the complexity of cyclic microplasticity and damage formation in HCF, since they provide a computable parameter with which differing microstructures may be ranked in fatigue. In [52], extreme value hotspots that determine the low probability of failure in HCF are introduced which relate to weighting factors on the FIPs in spatial correlations between factors thought to drive fatigue (eg inclusions, grain size, orientation combination). This approach has been extended to include short crack growth [53,54] where, with cognisance of the extreme statistics, it is shown to provide very good agreement with a range of experimental fatigue data for two Ni alloys.…”
Section: Nucleation Criteria and Microcracksmentioning
confidence: 99%
“…2. This separation in fatigue lifetimes, known as bimodal or competing-modes fatigue, has been observed in a wide range of alloys, including the superalloys: Rene'95 [21,22], Rene'88DT [23], IN100 [8,[24][25][26][27][28][29], Waspaloy [30], the single crystal alloy PWA 1484 [31], the titanium alloys Ti-10-2-3 [23,[32][33][34], Ti-6Al-2Sn-4Zr-6Mo [35][36][37][38][39][40][41][42], Ti-6Al-4V [43][44][45][46][47], gamma titanium aluminides [48,49], the aluminum alloy 7075-T651 [50], and others. Although such a separation of fatigue response has been known for some time [51], the significance of this behavior has not yet been generally captured in the strategies for fatigue design of turbine engine materials.…”
Section: Life Limits and Competing-mode Of Fatiguementioning
confidence: 99%