Life reliability assessment of twin-web disk using the active learning kriging model
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Compared with the traditional single turbine disk, the novel twin-web turbine disk (TWD) has a bright future in the application of the aero high-pressure disk due to its advantages in weight loss and heat transfer. With the strong coupling of multiple disciplines and the uncertain factors during the manufacturing process, it is necessary to analyze the multidisciplinary reliability of its fatigue life cycles in an efficient way. In this paper, based on the stratified sampling, a new sampling method called modified quadrangular grid (MQG) method, which has better efficiency and stability of sampling, is applied with the active learning Kriging (ALK) surrogate model and the Monte Carlo simulation. The distance based on sampling efficiency (DBSE) and information entropy are proposed in this paper as the criteria to evaluate the current sampling methods. A platform is then built for analyzing its fluid characteristic and structural strength performance. And the reliability of low-cycle fatigue (LCF) life is analyzed by Monte Carlo simulation with ALK model (ALK-MC). Results show the failure probability of current design is higher than the criterion which needs further reliability-based optimization design.
KeywordsTwin-web turbine Fatigue life Reliability analysis Sampling method Active learning Kriging surrogate model
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Conflict of interest
The authors declare that they have no conflict of interest.
- Force UA (1984) MIL-STD-1783 engine structural integrity program (ENSIP). Washington: US Air Force, 1984: 1–59,Google Scholar
- Hudak Jr S, Lanning B, Light G, Major J, Enright M, McClung R, Millwater H (2004) The influence of uncertainty in usage and fatigue damage sensing on turbine engine prognosis. In: Proceedings of the minerals, metals, and materials society materials science and technology symposium on materials damage prognosisGoogle Scholar
- Li G, Ding S, Bao M, Sun H (2017) Effect of actively managed thermal-loading in optimal design of an aeroengine turbine disk. Int Commun Heat Mass 81:257–268. https://doi.org/10.1016/j.icheatmasstransfer.2016.12.024 CrossRefGoogle Scholar
- Shen X, Dong S, Chen Z (2014) Research of an advanced turbine disk for high thrust-weight ratio engine. Paper presented at the ASME Turbo expo 2014: turbine technical conference and exposition, Düsseldorf, Germany, 16–20 June 2014Google Scholar
- Vasilyev B, Salnikov A, Semenov A, Magerramova L (2018) Twin-web turbine discs: part 1 — design and analysis of their efficiency. Paper presented at the ASME Turbo expo 2018: turbomachinery technical conference and exposition, Oslo, Norway, 11–15 June 2018Google Scholar
- Zhu S-P, Huang H-Z, Peng W, Wang H-K, Mahadevan S (2016) Probabilistic physics of failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty. Reliab Eng Syst Saf 146:1–12. https://doi.org/10.1016/j.ress.2015.10.002855