摘要
为了进行超长寿命疲劳破坏行为的可靠性研究,对GCr15钢超长寿命疲劳S-N试验数据进行了统计评估,采用Bansqun模型描述了其S-N曲线关系,建立了其概率S-N曲线模型,并采用SEV方法和Murakami方程分别预测了钢中最大夹杂尺寸和其相对应的疲劳强度。结果表明:其超长寿命疲劳S-N数据能较好地服从三参数威布尔分布,其概率S-N曲线形式都呈现持续下降的趋势;在验证了最大夹杂尺寸服从Gumbel分布的基础上,SEV方法预测的最大夹杂尺寸随着钢体积的增大而线性增加,Murakami方程预测的结果揭示了其概率S-N曲线呈现持续下降的原因。
In order to make the reliability research of the fatigue fracture behavior in a very high cycle region, the very high cycle fatigue S-N test data of GCr15 bearing steel are estimated accurately. Its S-N curve relation is described by the Bansqun model and its probabilistic S-N curve model is created. The method relating statistics of extreme values （SEV） and Murakami equation are adopted to estimate the size of maximum inclusion and the corresponding fatigue strength of GCr15 bearing steel, respectively. Test results show that the very high cycle fatigue S-N test data can follow three-parameter Weibull distribution better. Their shape of probabilistic S-N curves all exhibit a continual descending trend. Based on the size of maximum inclusion which can follow the Gumbel distribution better, the size of maximum inclusion is predicted by the SEV exhibits linear ascending trend along with the augment of the volume of the steel. The result predicted by the Murakami equation explains the reason of probabilistic S-N curves exhibiting a continual descending trend.
出处
《工程力学》
EI
CSCD
北大核心
2009年第6期36-41,共6页
Engineering Mechanics
基金
国家973计划项目(2007CB714705)
