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超长寿命疲劳破坏行为的可靠性研究
引用本文:李伟,李强,鲁连涛,周素霞. 超长寿命疲劳破坏行为的可靠性研究[J]. 工程力学, 2009, 0(6)
作者姓名:李伟  李强  鲁连涛  周素霞
作者单位:北京交通大学结构强度检测国家级认证中心;西南交通大学牵引动力国家重点实验室;
基金项目:国家973计划项目(2007CB714705)
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。

关 键 词:超长寿命疲劳  S-N曲线  P-S-N曲线  SEV理论  Murakami方程

RELIABILITY RESEARCH ON THE FATIGUE FRACTURE BEHAVIOR IN VERY HIGH CYCLE REGION
LI Wei,LI Qiang,LU Lian-tao,ZHOU Su-xia ,China National Accreditation Service for Conformity Assessment,Beijing ,China,. State Key Laboratory of Traction Power,Southwest Jiaotong University,Chengdu,Sichuan ,China). RELIABILITY RESEARCH ON THE FATIGUE FRACTURE BEHAVIOR IN VERY HIGH CYCLE REGION[J]. Engineering Mechanics, 2009, 0(6)
Authors:LI Wei  LI Qiang  LU Lian-tao  ZHOU Su-xia   China National Accreditation Service for Conformity Assessment  Beijing   China  . State Key Laboratory of Traction Power  Southwest Jiaotong University  Chengdu  Sichuan   China)
Affiliation:*LI Wei1,LI Qiang1,LU Lian-tao2,ZHOU Su-xia1 (1. Laboratory for Structural Strength Testing (Beijing Jiaotong University),China National Accreditation Service for Conformity Assessment,Beijing 100044,China,2. State Key Laboratory of Traction Power,Southwest Jiaotong University,Chengdu,Sichuan 610031,China)
Abstract: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. Te...
Keywords:very high cycle fatigue  S-N curve  P-S-N curve  SEV theory  Murakami equation  
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