A Multiscale Approach for Prediction of Failure Probabilities of Engine ComponentsSource: Journal of Engineering for Gas Turbines and Power:;2026:;volume( 148 ):;issue:004::page 9DOI: 10.1115/1.4069735Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. 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.
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| contributor author | Labusch, Matthias | |
| contributor author | Reischmann, Lisa | |
| contributor author | Meurer, Milena | |
| contributor author | Reh, Stefan | |
| date accessioned | 2026-08-23T08:29:16Z | |
| date available | 2026-08-23T08:29:16Z | |
| date copyright | 2026/04/01 | |
| date issued | 2026 | |
| identifier issn | 0742-4795 | |
| identifier other | gtp-25-1444.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4316621 | |
| description abstract | Abstract. 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. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | A Multiscale Approach for Prediction of Failure Probabilities of Engine Components | |
| type | Journal Paper | |
| journal volume | 148 | |
| journal issue | 4 | |
| journal title | Journal of Engineering for Gas Turbines and Power | |
| identifier doi | 10.1115/1.4069735 | |
| journal fristpage | 9 | |
| journal lastpage | 17 | |
| page | 9 | |
| tree | Journal of Engineering for Gas Turbines and Power:;2026:;volume( 148 ):;issue:004 | |
| contenttype | Fulltext |