Reliability Analysis for Strain-Based Fatigue Incorporating Dispersity Variation
To properly depict the heteroscedasticity when analyzing strain-based fatigue reliability, this paper proposes a novel P-ε-N model from both viewpoints of geometric properties and statistical characteristics. The constructed approach deals with the elastic strain and plastic strain separa...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8931571/ |
| _version_ | 1818921085864771584 |
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| author | Xinlei Wen Zhihua Wang Qiong Wu Chengrui Liu |
| author_facet | Xinlei Wen Zhihua Wang Qiong Wu Chengrui Liu |
| author_sort | Xinlei Wen |
| collection | DOAJ |
| description | To properly depict the heteroscedasticity when analyzing strain-based fatigue reliability, this paper proposes a novel P-ε-N model from both viewpoints of geometric properties and statistical characteristics. The constructed approach deals with the elastic strain and plastic strain separately, where the logarithmic fatigue life is considered as normally distributed with linear mean and standard deviation (std) functions of logarithmic elastic strain or plastic strain, respectively. P-ε-N curve with any percentile can be derived to facilitate the reliability analysis. An improved parameter estimation method based on maximum likelihood estimation (MLE) via genetic algorithm (GA) is further established. The presented method is illustrated and verified via a comprehensive simulation study and two real applications by comparing with the conventional homoscedasticity model. Corresponding results indicate that our proposed method can enhance the modeling accuracy and provide an extensive adaptation. |
| first_indexed | 2024-12-20T01:32:03Z |
| format | Article |
| id | doaj.art-cf426a4461c841b4b329c96cd044cbbe |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T01:32:03Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-cf426a4461c841b4b329c96cd044cbbe2022-12-21T19:58:05ZengIEEEIEEE Access2169-35362019-01-01718080418081710.1109/ACCESS.2019.29590398931571Reliability Analysis for Strain-Based Fatigue Incorporating Dispersity VariationXinlei Wen0https://orcid.org/0000-0001-6397-728XZhihua Wang1https://orcid.org/0000-0001-8106-0627Qiong Wu2https://orcid.org/0000-0001-5233-7287Chengrui Liu3https://orcid.org/0000-0001-8839-6748School of Aeronautic Science and Engineering, Beihang University, Beijing, ChinaSchool of Aeronautic Science and Engineering, Beihang University, Beijing, ChinaInstitute of Spacecraft System Engineering, China Academy of Space Technology, Beijing, ChinaBeijing Institute of Control Engineering, Beijing, ChinaTo properly depict the heteroscedasticity when analyzing strain-based fatigue reliability, this paper proposes a novel P-ε-N model from both viewpoints of geometric properties and statistical characteristics. The constructed approach deals with the elastic strain and plastic strain separately, where the logarithmic fatigue life is considered as normally distributed with linear mean and standard deviation (std) functions of logarithmic elastic strain or plastic strain, respectively. P-ε-N curve with any percentile can be derived to facilitate the reliability analysis. An improved parameter estimation method based on maximum likelihood estimation (MLE) via genetic algorithm (GA) is further established. The presented method is illustrated and verified via a comprehensive simulation study and two real applications by comparing with the conventional homoscedasticity model. Corresponding results indicate that our proposed method can enhance the modeling accuracy and provide an extensive adaptation.https://ieeexplore.ieee.org/document/8931571/Strain fatigue modelingP-ε-N curvereliability assessmentdispersity variationmaximum likelihood estimation |
| spellingShingle | Xinlei Wen Zhihua Wang Qiong Wu Chengrui Liu Reliability Analysis for Strain-Based Fatigue Incorporating Dispersity Variation IEEE Access Strain fatigue modeling P-ε-N curve reliability assessment dispersity variation maximum likelihood estimation |
| title | Reliability Analysis for Strain-Based Fatigue Incorporating Dispersity Variation |
| title_full | Reliability Analysis for Strain-Based Fatigue Incorporating Dispersity Variation |
| title_fullStr | Reliability Analysis for Strain-Based Fatigue Incorporating Dispersity Variation |
| title_full_unstemmed | Reliability Analysis for Strain-Based Fatigue Incorporating Dispersity Variation |
| title_short | Reliability Analysis for Strain-Based Fatigue Incorporating Dispersity Variation |
| title_sort | reliability analysis for strain based fatigue incorporating dispersity variation |
| topic | Strain fatigue modeling P-ε-N curve reliability assessment dispersity variation maximum likelihood estimation |
| url | https://ieeexplore.ieee.org/document/8931571/ |
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