综述:钢中亚稳奥氏体组织与疲劳性能关系
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Review: Relations Between Metastable Austenite and Fatigue Behavior of Steels
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图11. 根据支持向量机(SVM)和反向传播神经网络(BPNN)计算的奥氏体体积分数(fv)、奥氏体相内C的质量分数(fm)及拉伸性能与疲劳强度的平均相关系数(R2) |
Fig.11. Mean values of correlation coefficient (R2) between the volume fraction of austenite (fv), mass fraction of C consumed by austenite (fm) and tensile properties (YS—yield strength, TS—tensile strength, EL—elongation) and fatigue strength calculated by support vector machine (SVM) (a) and back-propagation neural network (BPNN) (b) with training test random 100 times |
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