首页 | 本学科首页   官方微博 | 高级检索  
     检索      

钢轨的疲劳重伤率分布规律与疲劳寿命预测
引用本文:习年生,周清跃.钢轨的疲劳重伤率分布规律与疲劳寿命预测[J].中国铁道科学,2004,25(5):53-56.
作者姓名:习年生  周清跃
作者单位:铁道科学研究院,铁道科学技术研究发展中心,北京,100081
基金项目:铁道科学研究院研发中心项目(2001YF03)
摘    要:钢轨疲劳重伤是给定失效准则下的疲劳失效,它的失效概率服从威布尔分布。钢轨疲劳重伤累积失效率不大于10根·km-1时,与累计通过总重服从幂函数关系。计算表明,其误差不超过5 4%,满足工程统计预测的要求。分析钢轨疲劳寿命的影响因素,认为在考察钢轨疲劳寿命时,仅统计分析直线钢轨的疲劳重伤和折断是适宜的。统计分析4个区段钢轨疲劳重伤规律,统计数据与理论分布规律较好吻合。

关 键 词:钢轨  疲劳  失效  寿命预测
文章编号:1001-4632(2004)05-0053-04
修稿时间:2004年1月29日

Distribution and Prediction of Rail Fatigue Failures
XI Nian-sheng,Zhou Qing-yue.Distribution and Prediction of Rail Fatigue Failures[J].China Railway Science,2004,25(5):53-56.
Authors:XI Nian-sheng  Zhou Qing-yue
Abstract:Severe rail fatigue defects are fatigue failures under certain failure criteria, and their failure rates follow the Weibull distribution. However, when the severe rail fatigue defect rates are no more than 10 failures per kilometer, they can be well expressed with power relation with accumulated pass tonnages. Calculation demonstrates that the error is no more than 5.4%, which is agreeable in engineering. After analyzing the influential factors of rail fatigue failures, it has been concluded that it is adequate just to take the fatigue failures and the fractures of straight line rail into consideration in investigating the fatigue life of the rail. Four examples of statistics and predictions suggest that real data agree well with theoretical rules.
Keywords:Rail  Fatigue  Failure  Prediction of service life
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号