Fatigue Properties Estimation and Life Prediction for Steels under Axial, Torsional, and In-Phase Loading
In this study, several estimation methods of fatigue properties based on different monotonic mechanical parameters were first discussed. The advantages and disadvantages of the Hardness Method proposed by Roessle and Fatemi were investigated and improved through the analysis of a total of 92 fatigue...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/8186159 |
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| author | Ernian Zhao Qiang Zhou Weilian Qu Wenming Wang |
| author_facet | Ernian Zhao Qiang Zhou Weilian Qu Wenming Wang |
| author_sort | Ernian Zhao |
| collection | DOAJ |
| description | In this study, several estimation methods of fatigue properties based on different monotonic mechanical parameters were first discussed. The advantages and disadvantages of the Hardness Method proposed by Roessle and Fatemi were investigated and improved through the analysis of a total of 92 fatigue test data. A new Segment Fitting Method from Brinell hardness was then proposed for the fatigue properties estimation, and a total of 96 pieces of fatigue test data under axial, torsional, and multiaxial in-phase loading were collected to verify the applicability of the new proposal. Finally, the prediction accuracy of the new proposal and three exciting estimation methods was compared with the predictions based on the experimental fatigue properties. Based on the results obtained, the newly proposed estimation method has a significant improvement on the relation between fatigue ductility coefficient and Brinell hardness, which consequently improves the fatigue life prediction accuracy with the scatter band of 2, particularly for the materials with low Brinell hardness. The present study can provide a simplified analysis of the preliminary fatigue design of engineering structures. |
| format | Article |
| id | doaj-art-57b8a5cdc02d417e98824713b9adfb24 |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-57b8a5cdc02d417e98824713b9adfb242025-02-03T05:49:29ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422020-01-01202010.1155/2020/81861598186159Fatigue Properties Estimation and Life Prediction for Steels under Axial, Torsional, and In-Phase LoadingErnian Zhao0Qiang Zhou1Weilian Qu2Wenming Wang3School of Civil Engineering, Shandong Jianzhu University, Jinan, Shandong 250101, ChinaHubei Key Laboratory of Roadway Bridge & Structure Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, ChinaHubei Key Laboratory of Roadway Bridge & Structure Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, ChinaSchool of Civil Engineering, Shandong Jianzhu University, Jinan, Shandong 250101, ChinaIn this study, several estimation methods of fatigue properties based on different monotonic mechanical parameters were first discussed. The advantages and disadvantages of the Hardness Method proposed by Roessle and Fatemi were investigated and improved through the analysis of a total of 92 fatigue test data. A new Segment Fitting Method from Brinell hardness was then proposed for the fatigue properties estimation, and a total of 96 pieces of fatigue test data under axial, torsional, and multiaxial in-phase loading were collected to verify the applicability of the new proposal. Finally, the prediction accuracy of the new proposal and three exciting estimation methods was compared with the predictions based on the experimental fatigue properties. Based on the results obtained, the newly proposed estimation method has a significant improvement on the relation between fatigue ductility coefficient and Brinell hardness, which consequently improves the fatigue life prediction accuracy with the scatter band of 2, particularly for the materials with low Brinell hardness. The present study can provide a simplified analysis of the preliminary fatigue design of engineering structures.http://dx.doi.org/10.1155/2020/8186159 |
| spellingShingle | Ernian Zhao Qiang Zhou Weilian Qu Wenming Wang Fatigue Properties Estimation and Life Prediction for Steels under Axial, Torsional, and In-Phase Loading Advances in Materials Science and Engineering |
| title | Fatigue Properties Estimation and Life Prediction for Steels under Axial, Torsional, and In-Phase Loading |
| title_full | Fatigue Properties Estimation and Life Prediction for Steels under Axial, Torsional, and In-Phase Loading |
| title_fullStr | Fatigue Properties Estimation and Life Prediction for Steels under Axial, Torsional, and In-Phase Loading |
| title_full_unstemmed | Fatigue Properties Estimation and Life Prediction for Steels under Axial, Torsional, and In-Phase Loading |
| title_short | Fatigue Properties Estimation and Life Prediction for Steels under Axial, Torsional, and In-Phase Loading |
| title_sort | fatigue properties estimation and life prediction for steels under axial torsional and in phase loading |
| url | http://dx.doi.org/10.1155/2020/8186159 |
| work_keys_str_mv | AT ernianzhao fatiguepropertiesestimationandlifepredictionforsteelsunderaxialtorsionalandinphaseloading AT qiangzhou fatiguepropertiesestimationandlifepredictionforsteelsunderaxialtorsionalandinphaseloading AT weilianqu fatiguepropertiesestimationandlifepredictionforsteelsunderaxialtorsionalandinphaseloading AT wenmingwang fatiguepropertiesestimationandlifepredictionforsteelsunderaxialtorsionalandinphaseloading |