A Probabilistic Model for Describing Short Fatigue Crack Growth Behavior of LZ50 Steel
Fatigue damage process of metal components and structures with smooth surface belongs primarily to stage of short fatigue crack. To characterize the random growth behavior of short fatigue crack and to apply the crack growth rate model for engineering safety assessment, a probabilistic model is prop...
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| Опубліковано в: : | Проблемы прочности |
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| Дата: | 2016 |
| Автори: | , , , |
| Формат: | Стаття |
| Мова: | Англійська |
| Опубліковано: |
Інститут проблем міцності ім. Г.С. Писаренко НАН України
2016
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| Онлайн доступ: | https://nasplib.isofts.kiev.ua/handle/123456789/173423 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Цитувати: | A Probabilistic Model for Describing Short Fatigue Crack Growth Behavior of LZ50 Steel / B. Yang, B.Q. Ma, S.N. Xiao, Y.X. Zhao // Проблемы прочности. — 2016. — № 1. — С. 106-114. — Бібліогр.: 18 назв. — англ. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of Ukraine| _version_ | 1862670187703042048 |
|---|---|
| author | Yang, B. Ma, B.Q. Xiao, S.N. Zhao, Y.X. |
| author_facet | Yang, B. Ma, B.Q. Xiao, S.N. Zhao, Y.X. |
| citation_txt | A Probabilistic Model for Describing Short Fatigue Crack Growth Behavior of LZ50 Steel / B. Yang, B.Q. Ma, S.N. Xiao, Y.X. Zhao // Проблемы прочности. — 2016. — № 1. — С. 106-114. — Бібліогр.: 18 назв. — англ. |
| collection | DSpace DC |
| container_title | Проблемы прочности |
| description | Fatigue damage process of metal components and structures with smooth surface belongs primarily to stage of short fatigue crack. To characterize the random growth behavior of short fatigue crack and to apply the crack growth rate model for engineering safety assessment, a probabilistic model is proposed with consideration of the test data scattering regularity. This probabilistic model is based on the multi-microstructural barriers model and can describe the deceleration behavior of growth rate during the whole short fatigue crack propagation process. To take the statistical characteristics of whole test data into account, the idea from the general maximum likelihood method which is widely used in parameters estimation of fatigue S-N curves and ε-N curves is inherited. While estimating the parameters of the probabilistic model, conventional correlation coefficient optimization method is extended for calculating the parameters of both the mean curve and the standard deviation curve. Analysis on the test data of LZ50 steel indicates the reasonability and availability of present model.
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| first_indexed | 2025-12-07T15:30:20Z |
| format | Article |
| fulltext | |
| id | nasplib_isofts_kiev_ua-123456789-173423 |
| institution | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| issn | 0556-171X |
| language | English |
| last_indexed | 2025-12-07T15:30:20Z |
| publishDate | 2016 |
| publisher | Інститут проблем міцності ім. Г.С. Писаренко НАН України |
| record_format | dspace |
| spelling | Yang, B. Ma, B.Q. Xiao, S.N. Zhao, Y.X. 2020-12-03T20:47:32Z 2020-12-03T20:47:32Z 2016 A Probabilistic Model for Describing Short Fatigue Crack Growth Behavior of LZ50 Steel / B. Yang, B.Q. Ma, S.N. Xiao, Y.X. Zhao // Проблемы прочности. — 2016. — № 1. — С. 106-114. — Бібліогр.: 18 назв. — англ. 0556-171X https://nasplib.isofts.kiev.ua/handle/123456789/173423 539.4 Fatigue damage process of metal components and structures with smooth surface belongs primarily to stage of short fatigue crack. To characterize the random growth behavior of short fatigue crack and to apply the crack growth rate model for engineering safety assessment, a probabilistic model is proposed with consideration of the test data scattering regularity. This probabilistic model is based on the multi-microstructural barriers model and can describe the deceleration behavior of growth rate during the whole short fatigue crack propagation process. To take the statistical characteristics of whole test data into account, the idea from the general maximum likelihood method which is widely used in parameters estimation of fatigue S-N curves and ε-N curves is inherited. While estimating the parameters of the probabilistic model, conventional correlation coefficient optimization method is extended for calculating the parameters of both the mean curve and the standard deviation curve. Analysis on the test data of LZ50 steel indicates the reasonability and availability of present model. Present work is supported by the National Natural Science Foundation of China (51205326 and 51275432), the Opening Project of State Key Laboratory of Traction Power (Grant No. 2015TPL_T13), and the Fundamental Research Funds for the Central Universities (SWJTU11CX075). en Інститут проблем міцності ім. Г.С. Писаренко НАН України Проблемы прочности Научно-технический раздел A Probabilistic Model for Describing Short Fatigue Crack Growth Behavior of LZ50 Steel Вероятностная модель для описания характера роста короткой усталостной трещины в стали LZ50 Article published earlier |
| spellingShingle | A Probabilistic Model for Describing Short Fatigue Crack Growth Behavior of LZ50 Steel Yang, B. Ma, B.Q. Xiao, S.N. Zhao, Y.X. Научно-технический раздел |
| title | A Probabilistic Model for Describing Short Fatigue Crack Growth Behavior of LZ50 Steel |
| title_alt | Вероятностная модель для описания характера роста короткой усталостной трещины в стали LZ50 |
| title_full | A Probabilistic Model for Describing Short Fatigue Crack Growth Behavior of LZ50 Steel |
| title_fullStr | A Probabilistic Model for Describing Short Fatigue Crack Growth Behavior of LZ50 Steel |
| title_full_unstemmed | A Probabilistic Model for Describing Short Fatigue Crack Growth Behavior of LZ50 Steel |
| title_short | A Probabilistic Model for Describing Short Fatigue Crack Growth Behavior of LZ50 Steel |
| title_sort | probabilistic model for describing short fatigue crack growth behavior of lz50 steel |
| topic | Научно-технический раздел |
| topic_facet | Научно-технический раздел |
| url | https://nasplib.isofts.kiev.ua/handle/123456789/173423 |
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