Advanced ultrasonic 'Probability of Detection' curves for designing in-service inspection intervals
| Autor: | S. Cantini, Michele Carboni |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Engineering
02 engineering and technology 01 natural sciences Statistical power Industrial and Manufacturing Engineering Modeling and simulation 0203 mechanical engineering 0103 physical sciences General Materials Science Railway axles Boreprobe equipment Inspection intervals Probability of detection Ultrasonic testing Mechanical Engineering Mechanics of Materials Materials Science (all) Modeling and Simulation 010301 acoustics Reliability (statistics) business.industry Structural engineering Function (mathematics) Strength of materials Axle 020303 mechanical engineering & transports Ultrasonic sensor business |
| Popis: | In order to ensure the safe service of modern railway vehicles, safety critical components are subjected to a dedicated maintenance and inspection plan. Railways axles, in particular, are periodically inspected by the ultrasonic testing method during maintenance interruptions in first level workshops, while the magnetic particles test is carried out in second level workshops. The reliability of such inspections is quantified in terms of “Probability of Detection” curves, which are traditionally related to a specific linear dimension of the defect to be detected. Actually, a fatigue crack is known to change its shape under cyclic loading, so affecting its detectability. In the present paper, a novel approach to “Probability of Detection” takes into account of this effect, introducing a “Master” probability of detection curve, which is a function of the reflecting area of the crack. A comparative applicative example between standard and such advanced probabilities of detection curves is then presented considering high-speed railway applications, whose hollow axles are made of the medium strength EA4T steel grade. |
| Databáze: | OpenAIRE |
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