著者

向山 和孝 花木 宏修 中村 裕紀 境田 彰芳 岡田 憲司 伊藤 勉 菅田 淳 酒井 達雄

出版者

公益社団法人 日本材料学会

雑誌

材料 (ISSN:05145163)

巻号頁・発行日

vol.67, no.2, pp.136-142, 2018-02-15 (Released:2018-02-20)

参考文献数

15

被引用文献数

3 2

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A statistical estimation method of S-N curve for aluminum alloys using their static mechanical properties was proposed. Firstly, S-N data series for aluminum alloys were extracted from "Database on Fatigue Strength of Metallic Materials" published by the Society of Materials Science, Japan (JSMS) and semi-logarithmic curve model was applied as mathematical regression model based on the JSMS standard, "Standard Evaluation Method of Fatigue Reliability for Metallic Materials -Standard Regression Method of S-N Curves-". Secondly, correlations between each pair of regression parameters and static mechanical properties were investigated. Using these correlations, S-N curve for aluminum alloys could be predicted easily from the static mechanical properties. Moreover, using (1) the distribution of regression parameter D and (2) the distribution of fatigue strength at 107 cycles, the percent points for the predicted S-N curve was evaluated. As result, it was confirmed that over 70% of S-N data series of wrought aluminum alloys fall within the range of estimated interval between -3s and +3s, where s means a standard deviation for the parameter of D.