Journal
COMPUTATIONAL MATERIALS SCIENCE
Volume 142, Issue -, Pages 377-388Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.commatsci.2017.10.022
Keywords
LCF; Probabilistic modeling; Size effect; Notch support; Coffin-Manson-Basquin model
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Funding
- German Federal Ministry of economic affairs BMWi via AG Turbo
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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 stress lead to geometry-independent model parameters. Three different materials (superalloys IN-939, Rene80, steel 26NiCrMoV14-5) and three different geometry types (smooth, notch, cooling hole specimens) are considered for a more comprehensive validation of the probabilistic LCF model and to demonstrate its wide application range. At the same time, a reduced testing effort is needed compared to deterministic model predictions with notch support. (C) 2017 Elsevier B.V. All rights reserved.
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