Quantitative comparison of the predictions of fracture toughness temperature dependence using ASTM E1921 master curve and stress distribution T-scaling methods

被引:4
|
作者
Meshii, Toshiyuki [1 ]
Yakushi, Goh [2 ]
Takagishi, Yoichi [3 ]
Fujimoto, Yohei [3 ]
Ishihara, Kenichi [3 ]
机构
[1] Univ Fukui, Fac Engn, 3-9-1 Bunkyo, Fukui, Fukui 9108507, Japan
[2] Univ Fukui, Grad Sch Engn, 3-9-1 Bunkyo, Fukui 9108507, Japan
[3] Kobelco Res Inst Inc, Nishi Ku, 1-5-5 Takatsukadai, Kobe, Hyogo 6512271, Japan
关键词
Fracture toughness; Ductile-to-brittle transition temperature region; Temperature dependence; T-scaling; Machine learning; TRANSITION; FAILURE; STEEL;
D O I
10.1016/j.engfailanal.2020.104458
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The fracture toughness temperature dependence of ferritic steels in the ductile-to-brittle transition temperature region, predicted using the ASTM E1921 master curve (MC) and stress distribution T-scaling (CDS) methods, is presented in this paper. A total of 34 cases (i.e., combination of material heats and specimen types) including 661 fracture toughness test data were considered. First, the direct correlation between fracture toughness and yield stress-as suggested by the CDS method-was validated using machine learning techniques. Subsequently, the accuracy of the predictions obtained by each method was quantitatively evaluated using a coefficient of determination. In 25 out of the 34 cases, the CDS method showed better prediction ability than the MC method. In the other 9 cases, the difference between the two methods was small, if considered from an engineering perspective.
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页数:9
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