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.

Advanced ultrasonic "Probability of Detection" curves for designing in-service inspection intervals

CARBONI, MICHELE;
2016-01-01

Abstract

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.
2016
Boreprobe equipment; Inspection intervals; Probability of detection; Railway axles; Ultrasonic testing; Industrial and Manufacturing Engineering; Mechanical Engineering; Mechanics of Materials; Materials Science (all); Modeling and Simulation
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S0142112315002273-main.pdf

Accesso riservato

: Publisher’s version
Dimensione 3.1 MB
Formato Adobe PDF
3.1 MB Adobe PDF   Visualizza/Apri
PaperOA.pdf

Open Access dal 22/07/2017

: Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione 2.82 MB
Formato Adobe PDF
2.82 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/981818
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 24
  • ???jsp.display-item.citation.isi??? 18
social impact