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contributor authorLabusch, Matthias
contributor authorReischmann, Lisa
contributor authorMeurer, Milena
contributor authorReh, Stefan
date accessioned2026-08-23T08:29:16Z
date available2026-08-23T08:29:16Z
date copyright2026/04/01
date issued2026
identifier issn0742-4795
identifier othergtp-25-1444.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4316621
description abstractAbstract. This work focuses on a complete procedure to compute the failure probabilities of different engine components using multiscale simulations taking microstructural characteristics into account, and Weibull's weakest link theory. The weakest link theory evaluates the failure probability on the basis of experimental measurements. Multiple tests are required to obtain the scatter of the required fracture stress, which are limited by the high costs of manufacturing processes and measurement techniques. To circumvent this issue, experimental results can be complemented by multiscale simulations. With the application of a homogenization process, the overall material modulus is determined based on microscopic properties, such that the morphology of the microstructure, defects, or pores can be directly incorporated. In this paper, we use the FE2-method with the idea to assign a representative volume element (RVE) to each macroscopic integration point, instead of deriving a suitable macroscopic material model. This RVE reflects the properties of a realistic heterogeneous microstructure and represents the overall material behavior. The propagation of microcracks is simulated using a phase field model and is implicitly included in the homogenization process. Multiple variations of RVEs with small geometrical differences capture variations in the manufacturing process and result into a scattering of the fracture stress. With the obtained results, a subsequent Weibull analysis can be performed, resulting into a prediction of the failure probability of different engine components.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Multiscale Approach for Prediction of Failure Probabilities of Engine Components
typeJournal Paper
journal volume148
journal issue4
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4069735
journal fristpage9
journal lastpage17
page9
treeJournal of Engineering for Gas Turbines and Power:;2026:;volume( 148 ):;issue:004
contenttypeFulltext


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