التفاصيل البيبلوغرافية
| العنوان: |
On the Shear Stress Parameter of Thin-walled Tubular Specimens under Torsional Loading |
| المؤلفون: |
Tian-Xiang Xia, Wei-Xing Yao, Jian-Guo Lu |
| المصدر: |
Procedia Engineering. 74:191-198 |
| بيانات النشر: |
Elsevier BV, 2014. |
| سنة النشر: |
2014 |
| مصطلحات موضوعية: |
Materials science, business.industry, Multiaxial fatigue, Torsion (mechanics), General Medicine, Structural engineering, Shear stress gradient, Shear rate, Simple shear, Shear modulus, Shear (geology), Critical resolved shear stress, Shear stress, Supporting effect, Composite material, business, Cyclic hardening, Engineering(all), Stress concentration |
| الوصف: |
In the most of existing fatigue life prediction models, the maximum shear str ess on a tubular specimen’s outer surface is chosen as the shear stress parameter to predict fatigue lifetime for torsional loading. It has been experimentally found that the fatigue lifetime observed under fully reversed torsion is always higher than that under tension-compression for the same eq uivalent stress level. In this paper, an improved shear stress fatig ue damage parameter based on Buch’s two-parameter model was proposed. In this par ameter, the influences of both shear stress gradient and cyclic strain hardening were taken into account. A serial of tensile-compressive and torsional loading tests were carried out on 2024-T4 aluminum alloy to validate the new parameter. Four ≥eq-Nf curves were plotted using different shear stress parameters. Compared with other shear stress parameters, the ≥eq-Nf curve translated from the new parameter made best coincide with the tension-compression S-N curve. © 2014 Th e Authors. Published by Elsevier Ltd. Selection and peer-review under responsibility of the Politecnico di Milano, Dipartimento di Meccanica. |
| تدمد: |
1877-7058 |
| DOI: |
10.1016/j.proeng.2014.06.249 |
| URL الوصول: |
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf186420474b477e74dae8cd5698c0a9 |
| حقوق: |
OPEN |
| رقم الأكسشن: |
edsair.doi.dedup.....cf186420474b477e74dae8cd5698c0a9 |
| قاعدة البيانات: |
OpenAIRE |
