Prediction for multiaxial fatigue strength with small defects
As an extension of previous studies, this paper further examine the applicability and characteristics of the predictive method, in particular, for the case of proportional loading. The predictive method is based on the \vec{area} See Formula in PDF -parameter model and Endo’s biaxial fatigue fai...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2014-06-01
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| Series: | MATEC Web of Conferences |
| Online Access: | http://dx.doi.org/10.1051/matecconf/20141208002 |
| _version_ | 1818917781831155712 |
|---|---|
| author | Yanase Keiji Endo Masahiro |
| author_facet | Yanase Keiji Endo Masahiro |
| author_sort | Yanase Keiji |
| collection | DOAJ |
| description | As an extension of previous studies, this paper further examine the applicability and characteristics of the predictive method, in particular, for the case of proportional loading. The predictive method is based on the
\vec{area}
See Formula in PDF
-parameter model and Endo’s biaxial fatigue failure criterion. The present study manifests that the critical plane is normal to the direction of maximum principal stress, and the fatigue strength is dictated by both the maximum and minimum principal stresses. |
| first_indexed | 2024-12-20T00:39:32Z |
| format | Article |
| id | doaj.art-3d341276ed13468a8f5e24bc7e747b48 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-20T00:39:32Z |
| publishDate | 2014-06-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-3d341276ed13468a8f5e24bc7e747b482022-12-21T19:59:39ZengEDP SciencesMATEC Web of Conferences2261-236X2014-06-01120800210.1051/matecconf/20141208002matecconf_fdmd2014_08002Prediction for multiaxial fatigue strength with small defectsYanase KeijiEndo MasahiroAs an extension of previous studies, this paper further examine the applicability and characteristics of the predictive method, in particular, for the case of proportional loading. The predictive method is based on the \vec{area} See Formula in PDF -parameter model and Endo’s biaxial fatigue failure criterion. The present study manifests that the critical plane is normal to the direction of maximum principal stress, and the fatigue strength is dictated by both the maximum and minimum principal stresses.http://dx.doi.org/10.1051/matecconf/20141208002 |
| spellingShingle | Yanase Keiji Endo Masahiro Prediction for multiaxial fatigue strength with small defects MATEC Web of Conferences |
| title | Prediction for multiaxial fatigue strength with small defects |
| title_full | Prediction for multiaxial fatigue strength with small defects |
| title_fullStr | Prediction for multiaxial fatigue strength with small defects |
| title_full_unstemmed | Prediction for multiaxial fatigue strength with small defects |
| title_short | Prediction for multiaxial fatigue strength with small defects |
| title_sort | prediction for multiaxial fatigue strength with small defects |
| url | http://dx.doi.org/10.1051/matecconf/20141208002 |
| work_keys_str_mv | AT yanasekeiji predictionformultiaxialfatiguestrengthwithsmalldefects AT endomasahiro predictionformultiaxialfatiguestrengthwithsmalldefects |