Probabilistic fatigue estimation framework for aeroengine bladed discs with multiple fuzziness modeling
To reduce the estimation errors of probabilistic fatigue lifetime caused by artificial cognitive factors, a probabilistic fatigue estimation framework with the consideration of multiple fuzziness (i.e., stress and strength) is proposed. In the presented framework, a fuzzy variable randomization-base...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-05-01
|
| Series: | Journal of Materials Research and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785423006579 |
| _version_ | 1797798804874854400 |
|---|---|
| author | Yao-Wei Wang Lu-Kai Song Xue-Qin Li Guang-Chen Bai |
| author_facet | Yao-Wei Wang Lu-Kai Song Xue-Qin Li Guang-Chen Bai |
| author_sort | Yao-Wei Wang |
| collection | DOAJ |
| description | To reduce the estimation errors of probabilistic fatigue lifetime caused by artificial cognitive factors, a probabilistic fatigue estimation framework with the consideration of multiple fuzziness (i.e., stress and strength) is proposed. In the presented framework, a fuzzy variable randomization-based fuzzy least squares support vector regression is proposed in the level of stress fuzziness, a fuzzy strength model with average stress calibration is established in the level of strength fuzziness, and the corresponding sampling-based probabilistic fatigue estimation framework is given. By regarding a typical compressor bladed disc with titanium-based superalloy as a case, the proposed framework is validated. Methods comparison shows that the proposed approach holds the highest estimation accuracy compared with the methods that do not consider fuzziness of stress or strength. The current efforts develop a novel approach to evaluate the probabilistic fatigue lifetime by fuzzy set theory, which also sheds a light on the reliability-based fatigue design of complex structures. |
| first_indexed | 2024-03-13T04:09:25Z |
| format | Article |
| id | doaj.art-7c1210f64781474dac8fa31a656a7fd8 |
| institution | Directory Open Access Journal |
| issn | 2238-7854 |
| language | English |
| last_indexed | 2024-03-13T04:09:25Z |
| publishDate | 2023-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Materials Research and Technology |
| spelling | doaj.art-7c1210f64781474dac8fa31a656a7fd82023-06-21T06:56:14ZengElsevierJournal of Materials Research and Technology2238-78542023-05-012428122827Probabilistic fatigue estimation framework for aeroengine bladed discs with multiple fuzziness modelingYao-Wei Wang0Lu-Kai Song1Xue-Qin Li2Guang-Chen Bai3School of Energy and Power Engineering, Beihang University, Beijing, 100191, ChinaDepartment of Mechanical Engineering, The Hong Kong Polytechnic University, Hong Kong, China; Research Institute of Aero-Engine, Beihang University, Beijing, 100191, China; Corresponding author.School of Energy and Power Engineering, Beihang University, Beijing, 100191, ChinaSchool of Energy and Power Engineering, Beihang University, Beijing, 100191, ChinaTo reduce the estimation errors of probabilistic fatigue lifetime caused by artificial cognitive factors, a probabilistic fatigue estimation framework with the consideration of multiple fuzziness (i.e., stress and strength) is proposed. In the presented framework, a fuzzy variable randomization-based fuzzy least squares support vector regression is proposed in the level of stress fuzziness, a fuzzy strength model with average stress calibration is established in the level of strength fuzziness, and the corresponding sampling-based probabilistic fatigue estimation framework is given. By regarding a typical compressor bladed disc with titanium-based superalloy as a case, the proposed framework is validated. Methods comparison shows that the proposed approach holds the highest estimation accuracy compared with the methods that do not consider fuzziness of stress or strength. The current efforts develop a novel approach to evaluate the probabilistic fatigue lifetime by fuzzy set theory, which also sheds a light on the reliability-based fatigue design of complex structures.http://www.sciencedirect.com/science/article/pii/S2238785423006579High-cycle fatigueFuzzy reliabilityBladed discSurrogate modelSupport vector regression |
| spellingShingle | Yao-Wei Wang Lu-Kai Song Xue-Qin Li Guang-Chen Bai Probabilistic fatigue estimation framework for aeroengine bladed discs with multiple fuzziness modeling Journal of Materials Research and Technology High-cycle fatigue Fuzzy reliability Bladed disc Surrogate model Support vector regression |
| title | Probabilistic fatigue estimation framework for aeroengine bladed discs with multiple fuzziness modeling |
| title_full | Probabilistic fatigue estimation framework for aeroengine bladed discs with multiple fuzziness modeling |
| title_fullStr | Probabilistic fatigue estimation framework for aeroengine bladed discs with multiple fuzziness modeling |
| title_full_unstemmed | Probabilistic fatigue estimation framework for aeroengine bladed discs with multiple fuzziness modeling |
| title_short | Probabilistic fatigue estimation framework for aeroengine bladed discs with multiple fuzziness modeling |
| title_sort | probabilistic fatigue estimation framework for aeroengine bladed discs with multiple fuzziness modeling |
| topic | High-cycle fatigue Fuzzy reliability Bladed disc Surrogate model Support vector regression |
| url | http://www.sciencedirect.com/science/article/pii/S2238785423006579 |
| work_keys_str_mv | AT yaoweiwang probabilisticfatigueestimationframeworkforaeroenginebladeddiscswithmultiplefuzzinessmodeling AT lukaisong probabilisticfatigueestimationframeworkforaeroenginebladeddiscswithmultiplefuzzinessmodeling AT xueqinli probabilisticfatigueestimationframeworkforaeroenginebladeddiscswithmultiplefuzzinessmodeling AT guangchenbai probabilisticfatigueestimationframeworkforaeroenginebladeddiscswithmultiplefuzzinessmodeling |