{"title":"基于a ~ t服役数据的疲劳裂纹扩展速率概率估计方法","authors":"Niansheng Xi, Hongmin Xu","doi":"10.1108/rs-04-2023-0021","DOIUrl":null,"url":null,"abstract":"PurposeThe study aims to provide a basis for the effective use of safety-related information data and a quantitative assessment way for the occurrence probability of the safety risk such as the fatigue fracture of the key components.Design/methodology/approachThe fatigue crack growth rate is of dispersion, which is often used to accurately describe with probability density. In view of the external dispersion caused by the load, a simple and applicable probability expression of fatigue crack growth rate is adopted based on the fatigue growth theory. Considering the isolation among the pairs of crack length a and crack formation time t (a∼t data) obtained from same kind of structural parts, a statistical analysis approach of t distribution is proposed, which divides the crack length in several segments. Furthermore, according to the compatibility criterion of crack growth, that is, there is statistical development correspondence among a∼t data, the probability model of crack growth rate is established.FindingsThe results show that the crack growth rate in the stable growth stage can be approximately expressed by the crack growth control curve da/dt = Q•a, and the probability density of the crack growth parameter Q represents the external dispersion; t follows two-parameter Weibull distribution in certain a values.Originality/valueThe probability density f(Q) can be estimated by using the probability model of crack growth rate, and a calculation example shows that the estimation method is effective and practical.","PeriodicalId":369838,"journal":{"name":"Railway Sciences","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Probability estimation method for fatigue crack growth rate based on a ∼ t data from service\",\"authors\":\"Niansheng Xi, Hongmin Xu\",\"doi\":\"10.1108/rs-04-2023-0021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeThe study aims to provide a basis for the effective use of safety-related information data and a quantitative assessment way for the occurrence probability of the safety risk such as the fatigue fracture of the key components.Design/methodology/approachThe fatigue crack growth rate is of dispersion, which is often used to accurately describe with probability density. In view of the external dispersion caused by the load, a simple and applicable probability expression of fatigue crack growth rate is adopted based on the fatigue growth theory. Considering the isolation among the pairs of crack length a and crack formation time t (a∼t data) obtained from same kind of structural parts, a statistical analysis approach of t distribution is proposed, which divides the crack length in several segments. Furthermore, according to the compatibility criterion of crack growth, that is, there is statistical development correspondence among a∼t data, the probability model of crack growth rate is established.FindingsThe results show that the crack growth rate in the stable growth stage can be approximately expressed by the crack growth control curve da/dt = Q•a, and the probability density of the crack growth parameter Q represents the external dispersion; t follows two-parameter Weibull distribution in certain a values.Originality/valueThe probability density f(Q) can be estimated by using the probability model of crack growth rate, and a calculation example shows that the estimation method is effective and practical.\",\"PeriodicalId\":369838,\"journal\":{\"name\":\"Railway Sciences\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Railway Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/rs-04-2023-0021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Railway Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/rs-04-2023-0021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
目的研究旨在为安全相关信息数据的有效利用提供依据,为关键部件疲劳断裂等安全风险的发生概率提供定量评估方法。设计/方法/方法疲劳裂纹扩展速率具有弥散性,通常用概率密度来精确描述。考虑到载荷引起的外扩散,基于疲劳扩展理论,采用了一种简单适用的疲劳裂纹扩展速率概率表达式。考虑到同一类结构件裂纹长度a和裂纹形成时间t (a ~ t数据)对之间的隔离性,提出了一种将裂纹长度分成几段的t分布统计分析方法。进一步,根据裂纹扩展的相容性判据,即a ~ t数据之间存在统计发展对应关系,建立裂纹扩展速率的概率模型。结果表明:裂纹稳定扩展阶段的裂纹扩展速率可以用裂纹扩展控制曲线da/dt = Q•a近似表示,裂纹扩展参数Q的概率密度代表外部弥散;t在一定a值下服从双参数威布尔分布。利用裂纹扩展速率的概率模型可以估计出概率密度f(Q),算例表明了该估计方法的有效性和实用性。
Probability estimation method for fatigue crack growth rate based on a ∼ t data from service
PurposeThe study aims to provide a basis for the effective use of safety-related information data and a quantitative assessment way for the occurrence probability of the safety risk such as the fatigue fracture of the key components.Design/methodology/approachThe fatigue crack growth rate is of dispersion, which is often used to accurately describe with probability density. In view of the external dispersion caused by the load, a simple and applicable probability expression of fatigue crack growth rate is adopted based on the fatigue growth theory. Considering the isolation among the pairs of crack length a and crack formation time t (a∼t data) obtained from same kind of structural parts, a statistical analysis approach of t distribution is proposed, which divides the crack length in several segments. Furthermore, according to the compatibility criterion of crack growth, that is, there is statistical development correspondence among a∼t data, the probability model of crack growth rate is established.FindingsThe results show that the crack growth rate in the stable growth stage can be approximately expressed by the crack growth control curve da/dt = Q•a, and the probability density of the crack growth parameter Q represents the external dispersion; t follows two-parameter Weibull distribution in certain a values.Originality/valueThe probability density f(Q) can be estimated by using the probability model of crack growth rate, and a calculation example shows that the estimation method is effective and practical.