Fatigue reliability and sensitivity analysis of turbine disk with fuzzy failure status
Low-cycle fatigue is typical failure mode of aero-engine turbine disk, traditional reliability analysis method based on the binary state assumption has certain limitations for turbine disk reliability evaluation, because it doesn't consider the change of damage strength parameter caused by load...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
EDP Sciences
2021-12-01
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| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/full_html/2021/06/jnwpu2021396p1312/jnwpu2021396p1312.html |
| _version_ | 1797643110901088256 |
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| author | Huang Xiaoyu Wang Pan Li Haihe Zhang Zheng |
| author_facet | Huang Xiaoyu Wang Pan Li Haihe Zhang Zheng |
| author_sort | Huang Xiaoyu |
| collection | DOAJ |
| description | Low-cycle fatigue is typical failure mode of aero-engine turbine disk, traditional reliability analysis method based on the binary state assumption has certain limitations for turbine disk reliability evaluation, because it doesn't consider the change of damage strength parameter caused by loading sequences and the enhanced damage by small load. On the basis of fatigue reliability analysis of the turbine disk, this paper considers the fuzzy state assumption of turbine disk, then select the membership function and indicate fuzzy failure probability of turbine disk, which can be transformed into a series of conventional failure probability by Gaussian quadrature. An active learning Kriging model is used to orderly calculate the failure probability corresponding to different limit state functions and the fuzzy failure probability of turbine disk. A global sensitivity index based on fuzzy failure probability is established to analyze the influence of input variables on the fuzzy failure probability, which is helpful to the reliability design and structural optimization of the turbine disk. |
| first_indexed | 2024-03-11T14:09:54Z |
| format | Article |
| id | doaj.art-1dd0770cec8843ba8f619ea362f1bcd2 |
| institution | Directory Open Access Journal |
| issn | 1000-2758 2609-7125 |
| language | zho |
| last_indexed | 2024-03-11T14:09:54Z |
| publishDate | 2021-12-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Xibei Gongye Daxue Xuebao |
| spelling | doaj.art-1dd0770cec8843ba8f619ea362f1bcd22023-11-02T00:19:23ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252021-12-013961312131910.1051/jnwpu/20213961312jnwpu2021396p1312Fatigue reliability and sensitivity analysis of turbine disk with fuzzy failure statusHuang Xiaoyu0Wang Pan1Li Haihe2Zhang Zheng3School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical UniversitySchool of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical UniversitySchool of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical UniversitySchool of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical UniversityLow-cycle fatigue is typical failure mode of aero-engine turbine disk, traditional reliability analysis method based on the binary state assumption has certain limitations for turbine disk reliability evaluation, because it doesn't consider the change of damage strength parameter caused by loading sequences and the enhanced damage by small load. On the basis of fatigue reliability analysis of the turbine disk, this paper considers the fuzzy state assumption of turbine disk, then select the membership function and indicate fuzzy failure probability of turbine disk, which can be transformed into a series of conventional failure probability by Gaussian quadrature. An active learning Kriging model is used to orderly calculate the failure probability corresponding to different limit state functions and the fuzzy failure probability of turbine disk. A global sensitivity index based on fuzzy failure probability is established to analyze the influence of input variables on the fuzzy failure probability, which is helpful to the reliability design and structural optimization of the turbine disk.https://www.jnwpu.org/articles/jnwpu/full_html/2021/06/jnwpu2021396p1312/jnwpu2021396p1312.htmlturbine disklow cycle fatigue lifefuzzy reliabilityactive learning krigingsensitive analysis |
| spellingShingle | Huang Xiaoyu Wang Pan Li Haihe Zhang Zheng Fatigue reliability and sensitivity analysis of turbine disk with fuzzy failure status Xibei Gongye Daxue Xuebao turbine disk low cycle fatigue life fuzzy reliability active learning kriging sensitive analysis |
| title | Fatigue reliability and sensitivity analysis of turbine disk with fuzzy failure status |
| title_full | Fatigue reliability and sensitivity analysis of turbine disk with fuzzy failure status |
| title_fullStr | Fatigue reliability and sensitivity analysis of turbine disk with fuzzy failure status |
| title_full_unstemmed | Fatigue reliability and sensitivity analysis of turbine disk with fuzzy failure status |
| title_short | Fatigue reliability and sensitivity analysis of turbine disk with fuzzy failure status |
| title_sort | fatigue reliability and sensitivity analysis of turbine disk with fuzzy failure status |
| topic | turbine disk low cycle fatigue life fuzzy reliability active learning kriging sensitive analysis |
| url | https://www.jnwpu.org/articles/jnwpu/full_html/2021/06/jnwpu2021396p1312/jnwpu2021396p1312.html |
| work_keys_str_mv | AT huangxiaoyu fatiguereliabilityandsensitivityanalysisofturbinediskwithfuzzyfailurestatus AT wangpan fatiguereliabilityandsensitivityanalysisofturbinediskwithfuzzyfailurestatus AT lihaihe fatiguereliabilityandsensitivityanalysisofturbinediskwithfuzzyfailurestatus AT zhangzheng fatiguereliabilityandsensitivityanalysisofturbinediskwithfuzzyfailurestatus |