Academic Journal
Data Processing of 2060-T8 Alloy Fatigue Test Results Using Statistical Methods to Improve Reliability and Accuracy.
| Title: | Data Processing of 2060-T8 Alloy Fatigue Test Results Using Statistical Methods to Improve Reliability and Accuracy. |
|---|---|
| Authors: | Lv, Yuanbo, Chen, Xianmin, Fan, Youyou, Tian, Yuxiang, Zhang, Feng |
| Source: | Materials (1996-1944); Apr2025, Vol. 18 Issue 8, p1711, 12p |
| Subject Terms: | Alloy fatigue, Fatigue life, Structural engineering, Fatigue testing machines, Cast steel, Shot peening |
| Abstract: | Fatigue life testing is a crucial method for evaluating the fatigue performance of a material or part. However, the reliability and accuracy of the analysis methods applied to the data generated by such tests remain insufficient owing to their considerable scatter. This study accordingly conducted fatigue testing on fourth-generation 2060-T8 aluminum–lithium alloy specimens before and after low- and high-intensity cast steel shot peening. The resulting fatigue test data were evaluated for normality, processed using outlier identification, and subjected to hypothesis testing and comparative analysis. Finally, the fatigue reliability of each specimen group was calculated based on the significant differences between their observed fatigue lives. This study pioneers the systematic integration of normality testing, outlier identification, and hypothesis testing, constructing a multi-tiered analytical framework specifically tailored for shot peening effect evaluation. This approach fundamentally overcomes the constraints of traditional methodologies characterized by their sole reliance on mean fatigue life analysis. The determined effects of shot peening on the specimen fatigue life and data dispersion indicated that analysis using statistical methods can effectively improve the reliability of fatigue test results and support the selection of materials for use in engineering structures. [ABSTRACT FROM AUTHOR] |
| Copyright of Materials (1996-1944) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
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| Header | DbId: edb DbLabel: Complementary Index An: 184752629 RelevancyScore: 994 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 993.546142578125 |
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| Items | – Name: Title Label: Title Group: Ti Data: Data Processing of 2060-T8 Alloy Fatigue Test Results Using Statistical Methods to Improve Reliability and Accuracy. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lv%2C+Yuanbo%22">Lv, Yuanbo</searchLink><br /><searchLink fieldCode="AR" term="%22Chen%2C+Xianmin%22">Chen, Xianmin</searchLink><br /><searchLink fieldCode="AR" term="%22Fan%2C+Youyou%22">Fan, Youyou</searchLink><br /><searchLink fieldCode="AR" term="%22Tian%2C+Yuxiang%22">Tian, Yuxiang</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Feng%22">Zhang, Feng</searchLink> – Name: TitleSource Label: Source Group: Src Data: Materials (1996-1944); Apr2025, Vol. 18 Issue 8, p1711, 12p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Alloy+fatigue%22">Alloy fatigue</searchLink><br /><searchLink fieldCode="DE" term="%22Fatigue+life%22">Fatigue life</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+engineering%22">Structural engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Fatigue+testing+machines%22">Fatigue testing machines</searchLink><br /><searchLink fieldCode="DE" term="%22Cast+steel%22">Cast steel</searchLink><br /><searchLink fieldCode="DE" term="%22Shot+peening%22">Shot peening</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Fatigue life testing is a crucial method for evaluating the fatigue performance of a material or part. However, the reliability and accuracy of the analysis methods applied to the data generated by such tests remain insufficient owing to their considerable scatter. This study accordingly conducted fatigue testing on fourth-generation 2060-T8 aluminum–lithium alloy specimens before and after low- and high-intensity cast steel shot peening. The resulting fatigue test data were evaluated for normality, processed using outlier identification, and subjected to hypothesis testing and comparative analysis. Finally, the fatigue reliability of each specimen group was calculated based on the significant differences between their observed fatigue lives. This study pioneers the systematic integration of normality testing, outlier identification, and hypothesis testing, constructing a multi-tiered analytical framework specifically tailored for shot peening effect evaluation. This approach fundamentally overcomes the constraints of traditional methodologies characterized by their sole reliance on mean fatigue life analysis. The determined effects of shot peening on the specimen fatigue life and data dispersion indicated that analysis using statistical methods can effectively improve the reliability of fatigue test results and support the selection of materials for use in engineering structures. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Materials (1996-1944) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/ma18081711 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1711 Subjects: – SubjectFull: Alloy fatigue Type: general – SubjectFull: Fatigue life Type: general – SubjectFull: Structural engineering Type: general – SubjectFull: Fatigue testing machines Type: general – SubjectFull: Cast steel Type: general – SubjectFull: Shot peening Type: general Titles: – TitleFull: Data Processing of 2060-T8 Alloy Fatigue Test Results Using Statistical Methods to Improve Reliability and Accuracy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lv, Yuanbo – PersonEntity: Name: NameFull: Chen, Xianmin – PersonEntity: Name: NameFull: Fan, Youyou – PersonEntity: Name: NameFull: Tian, Yuxiang – PersonEntity: Name: NameFull: Zhang, Feng IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 04 Text: Apr2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19961944 Numbering: – Type: volume Value: 18 – Type: issue Value: 8 Titles: – TitleFull: Materials (1996-1944) Type: main |
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