Journal of the Society of Materials Science, Japan
Online ISSN : 1880-7488
Print ISSN : 0514-5163
ISSN-L : 0514-5163
Original Papers
Statistical Estimation of S-N Curves for Structural Carbon Steels Using Their Static Mechanical Properties
Kazutaka MUKOYAMA, Koushu HANAKI, Kenji OKADA, Akiyoshi SAKAIDA, Yuki NAKAMURA, Atsushi SUGETA, Izuru NISHIKAWA, Akira UENO, Tatsuo SAKAI
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JOURNAL OPEN ACCESS

2015 Volume 64 Issue 6 Pages 479-485

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Abstract
A statistical estimation method of S-N curve for structural carbon steels using their static mechanical properties was proposed. Firstly, S-N data series for pure iron and structural carbon steels were extracted from "Database on Fatigue Strength of Metallic Materials" published by the Society of Materials Science, Japan (JSMS) and S-N curve for each material was obtained by using the JSMS standard; "Standard Evaluation Method of Fatigue Reliability for Metallic Materials -Standard Regression Method of S-N Curve-". Secondly, correlations between regression parameters and static mechanical properties were investigated. As a result, the relationships between regression parameters and static mechanical properties (e.g. fatigue limit E and static tensile strength σB) have showed significant correlations. Based on these correlations, S-N curves for structural carbon steels were successfully predicted from their static mechanical properties. Moreover, using the distribution of fatigue limit E, the percentile points for the predicted S-N curve were also estimated. It was finally confirmed that 81% of S-N data series fall within the range of estimated interval between -3s and +3s, where s means a standard deviation.
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© 2015 by The Society of Materials Science, Japan

この記事はクリエイティブ・コモンズ [表示 - 非営利 - 改変禁止 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja
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