鉴于非金属夹杂诱发Cr-Ni-W高强度钢超长寿命(＞107周次)内部疲劳失效的行为,使用4种统计方法(statistics of extreme values,SEV; generalized extreme values,GEV; generalized Pareto distribution,GPD; exponential generalized Pareto distribution,EXPGPD)对其特征夹杂尺寸进行了评估,并基于Murakami方程预测了其超长寿命疲劳强度.结果表明,SEV和EXPGPD预测的夹杂尺寸会随钢体积的增加而无限增大,而GPD和GEV预测的尺寸会逐渐增加并趋于一定值,其中EXPGPD和GPD分别给出了其上下限值.与实验寿命等于108的结果相比较,基于EXPGPD方法的疲劳强度预测结果偏低,而其它方法的预测结果均偏高;从抗疲劳断裂角度出发,对于体积大于1 mm3的Cr-Ni-W钢而言,采用基于EXPGPD方法的夹杂尺寸评估和强度预测是适合的.
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