2018
DOI: 10.1016/j.commatsci.2017.10.022
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Combined notch and size effect modeling in a local probabilistic approach for LCF

Abstract: In recent years a local probabilistic model for low cycle fatigue (LCF) based on the statistical size effect has been developed and applied on engineering components. Here, the notch support extension based on the stress gradient effect is described in detail, as well as an FEA-based parameter calibration. An FEA is necessary to simulate non-homogeneous stress fields in non-smooth specimens which exhibit gradients and determine size effects. The hazard density approach and the surface integration over the FEA … Show more

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Cited by 65 publications
(49 citation statements)
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“…Prob. Wöhler curves and cooling hole specimen LCF test data of IN‐939 at 649 ° C . The “low” and “high” axis ticks correspond to the same cycle numbers as in all other Wöhler plots in this work…”
Section: Theorymentioning
confidence: 90%
See 3 more Smart Citations
“…Prob. Wöhler curves and cooling hole specimen LCF test data of IN‐939 at 649 ° C . The “low” and “high” axis ticks correspond to the same cycle numbers as in all other Wöhler plots in this work…”
Section: Theorymentioning
confidence: 90%
“…Mäde et al have shown how the combined local probabilistic model differentiates between size effect shift ΔN SizEff in N ‐direction and the stress gradient shift in E ‐direction, which is equivalent to another LCF life shift ΔN StGradEff (see Figure ).…”
Section: Theorymentioning
confidence: 99%
See 2 more Smart Citations
“…Recently, Mäde et al coupled the Coffin‐Manson‐Basquin (CMB) equation and Seibel's empirical formula into probabilistic low cycle fatigue (LCF) risk evaluation of turbine vanes. Specifically, the notch support factor n χ is utilized directly in the form of 1+Aχ×χkχ, where A χ and k χ are material‐dependent notch support parameters.…”
Section: Introductionmentioning
confidence: 99%