Influence of the Ductility Exponent on the Fatigue of Structural Steels
Fatigue models using the strain-life method do not show exact conformity with the empirical results. Therefore, the use of the mean-stress correction approach is to be evaluated, with a particular focus on mild and higher-strength steel. The influence of the ductility parameters will be studied. A p...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-04-01
|
| Series: | Metals |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4701/13/4/759 |
| _version_ | 1797604307442335744 |
|---|---|
| author | Martin Kreithner Alexander Niederwanger Robert Lang |
| author_facet | Martin Kreithner Alexander Niederwanger Robert Lang |
| author_sort | Martin Kreithner |
| collection | DOAJ |
| description | Fatigue models using the strain-life method do not show exact conformity with the empirical results. Therefore, the use of the mean-stress correction approach is to be evaluated, with a particular focus on mild and higher-strength steel. The influence of the ductility parameters will be studied. A potential favorable development of structural steels with regard to ductility will be checked. The paper will focus on two types of structural steel: S355 and S700. Initially, the mechanical properties of the steel test specimens were measured via a tensile testing rig. In addition, a fatigue test was carried out by applying various mean-stresses. Surface roughness was measured at the notch and introduced into the initial model. The strain amplitudes were determined using the Ramberg-Osgood and Masing material models. Subsequently, a curve fitting was applied to the strain-life data for the fatigue ductility exponent. The multiparameter model was fitted with only one parameter. The resulting model showed a good fit between the strain-life curve and the test results. During the course of the optimization, the error and the scatter were calculated separately for steel types S355 and S700. Based on the ductility exponent, a favorable behavior of the materials was determined. |
| first_indexed | 2024-03-11T04:44:33Z |
| format | Article |
| id | doaj.art-5c8cf5226bde4e2ebe74692e4a111d6d |
| institution | Directory Open Access Journal |
| issn | 2075-4701 |
| language | English |
| last_indexed | 2024-03-11T04:44:33Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metals |
| spelling | doaj.art-5c8cf5226bde4e2ebe74692e4a111d6d2023-11-17T20:27:18ZengMDPI AGMetals2075-47012023-04-0113475910.3390/met13040759Influence of the Ductility Exponent on the Fatigue of Structural SteelsMartin Kreithner0Alexander Niederwanger1Robert Lang2Unit of Steel Construction and Mixed Building Technology, Department of Structural Engineering and Material Sciences, University of Innsbruck, 6020 Innsbruck, AustriaUnit of Steel Construction and Mixed Building Technology, Department of Structural Engineering and Material Sciences, University of Innsbruck, 6020 Innsbruck, AustriaUnit of Steel Construction and Mixed Building Technology, Department of Structural Engineering and Material Sciences, University of Innsbruck, 6020 Innsbruck, AustriaFatigue models using the strain-life method do not show exact conformity with the empirical results. Therefore, the use of the mean-stress correction approach is to be evaluated, with a particular focus on mild and higher-strength steel. The influence of the ductility parameters will be studied. A potential favorable development of structural steels with regard to ductility will be checked. The paper will focus on two types of structural steel: S355 and S700. Initially, the mechanical properties of the steel test specimens were measured via a tensile testing rig. In addition, a fatigue test was carried out by applying various mean-stresses. Surface roughness was measured at the notch and introduced into the initial model. The strain amplitudes were determined using the Ramberg-Osgood and Masing material models. Subsequently, a curve fitting was applied to the strain-life data for the fatigue ductility exponent. The multiparameter model was fitted with only one parameter. The resulting model showed a good fit between the strain-life curve and the test results. During the course of the optimization, the error and the scatter were calculated separately for steel types S355 and S700. Based on the ductility exponent, a favorable behavior of the materials was determined.https://www.mdpi.com/2075-4701/13/4/759low cycle fatiguefatigue ductility exponentmean-stressstrain-life approachstrain amplitudesmaterial properties |
| spellingShingle | Martin Kreithner Alexander Niederwanger Robert Lang Influence of the Ductility Exponent on the Fatigue of Structural Steels Metals low cycle fatigue fatigue ductility exponent mean-stress strain-life approach strain amplitudes material properties |
| title | Influence of the Ductility Exponent on the Fatigue of Structural Steels |
| title_full | Influence of the Ductility Exponent on the Fatigue of Structural Steels |
| title_fullStr | Influence of the Ductility Exponent on the Fatigue of Structural Steels |
| title_full_unstemmed | Influence of the Ductility Exponent on the Fatigue of Structural Steels |
| title_short | Influence of the Ductility Exponent on the Fatigue of Structural Steels |
| title_sort | influence of the ductility exponent on the fatigue of structural steels |
| topic | low cycle fatigue fatigue ductility exponent mean-stress strain-life approach strain amplitudes material properties |
| url | https://www.mdpi.com/2075-4701/13/4/759 |
| work_keys_str_mv | AT martinkreithner influenceoftheductilityexponentonthefatigueofstructuralsteels AT alexanderniederwanger influenceoftheductilityexponentonthefatigueofstructuralsteels AT robertlang influenceoftheductilityexponentonthefatigueofstructuralsteels |