Probability of instant rail break induced by wheel-rail impact loading using field test data

The probability of an instant rail break, initiated at a single pre-existing rail foot crack due to a severe wheel impact loading, is predicted using statistical methods and a time-domain model for the simulation of dynamic vehicle-track interaction. A linear elastic fracture mechanics approach is e...

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Veröffentlicht in:International journal of rail transportation (Online) Jg. 10; H. 1; S. 1 - 23
Hauptverfasser: Nielsen, Jens CO, Abrahamsson, Thomas JS, Ekberg, Anders
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Abingdon Taylor & Francis 02.01.2022
Taylor & Francis Ltd
Schlagworte:
dynamic vehicle-track interaction
Field tests
Fracture mechanics
Fracture toughness
Impact loads
Impact prediction
Linear elastic fracture mechanics
rail break probability
Statistical analysis
Statistical methods
Stress intensity
subset simulation algorithm
Temperature gradients
thin plate spline
Thin plates
Wheel-rail impact loads
ISSN:2324-8378, 2324-8386, 2324-8386
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Abstract The probability of an instant rail break, initiated at a single pre-existing rail foot crack due to a severe wheel impact loading, is predicted using statistical methods and a time-domain model for the simulation of dynamic vehicle-track interaction. A linear elastic fracture mechanics approach is employed to calculate the stress intensity at the crack in a continuously welded rail subjected to combined bending and temperature loading. Based on long-term field measurements in a wayside wheel load detector, a three-parameter probability distribution of the dynamic wheel load is determined. For a faster numerical assessment of the probability of failure, a thin plate spline regression is implemented to develop a meta-model of the performance function quantifying the stress intensity at the crack. The methodology is demonstrated by investigating the influence of initial crack length, fracture toughness and rail temperature difference on the risk for an instant rail break.
AbstractList The probability of an instant rail break, initiated at a single pre-existing rail foot crack due to a severe wheel impact loading, is predicted using statistical methods and a time-domain model for the simulation of dynamic vehicle–track interaction. A linear elastic fracture mechanics approach is employed to calculate the stress intensity at the crack in a continuously welded rail subjected to combined bending and temperature loading. Based on long-term field measurements in a wayside wheel load detector, a three-parameter probability distribution of the dynamic wheel load is determined. For a faster numerical assessment of the probability of failure, a thin plate spline regression is implemented to develop a meta-model of the performance function quantifying the stress intensity at the crack. The methodology is demonstrated by investigating the influence of initial crack length, fracture toughness and rail temperature difference on the risk for an instant rail break.
Author Ekberg, Anders
Nielsen, Jens CO
Abrahamsson, Thomas JS
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  givenname: Thomas JS
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  surname: Ekberg
  fullname: Ekberg, Anders
  organization: Chalmers University of Technology
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Snippet The probability of an instant rail break, initiated at a single pre-existing rail foot crack due to a severe wheel impact loading, is predicted using...
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SubjectTerms dynamic vehicle-track interaction
Field tests
Fracture mechanics
Fracture toughness
Impact loads
Impact prediction
Linear elastic fracture mechanics
rail break probability
Statistical analysis
Statistical methods
Stress intensity
subset simulation algorithm
Temperature gradients
thin plate spline
Thin plates
Wheel-rail impact loads
Title Probability of instant rail break induced by wheel-rail impact loading using field test data
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