首页> 外文会议>ASME(American Society of Mechanical Engineers) Pressure Vessels and Piping Conference vol.7: Operations, Applications, and Components; 20050717-21; Denver,CO(US) >A MARKOV CHAIN MODEL FOR FATIGUE CRACK GROWTH, INSPECTION AND REPAIR: THE RELATIONSHIP BETWEEN PROBABILITY OF DETECTION, RELIABILITY AND NUMBER OF REPAIRS IN FLEETS OF RAILROAD TANK CARS
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A MARKOV CHAIN MODEL FOR FATIGUE CRACK GROWTH, INSPECTION AND REPAIR: THE RELATIONSHIP BETWEEN PROBABILITY OF DETECTION, RELIABILITY AND NUMBER OF REPAIRS IN FLEETS OF RAILROAD TANK CARS

机译:疲劳裂纹扩展,检查和修复的马尔可夫链模型:铁路罐车车队的检测概率,可靠性和修复次数之间的关系

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摘要

A Markov chain model to simulate the process of fatigue crack growth, non-destructive inspection and repair in a fleet of railroad tank cars is developed and presented. Crack growth is modeled to reproduce crack shapes that were observed during destructive tear-down tests at the end of life for several tank cars. The Markov chain model is further extended to include non-destructive inspections using POD curves that were established during baseline tests of several methods used in the railroad tank car industry. Next, the model is used to predict the effect of various non-destructive inspection techniques on fatigue-related reliability of the fleet, as well as the number of repairs that are required as a result of the inspections.
机译:建立并提出了一个马尔可夫链模型来模拟铁路罐车车队疲劳裂纹扩展,无损检查和维修的过程。对裂纹扩展进行了建模,以重现几种油罐车寿命终止时在破坏性拆解测试中观察到的裂纹形状。马尔可夫链模型得到进一步扩展,包括使用POD曲线进行的无损检查,该曲线是在铁路罐车行业使用的几种方法的基准测试期间建立的。接下来,该模型用于预测各种非破坏性检查技术对车队疲劳相关可靠性的影响,以及检查结果所需的维修次数。

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