Search for dissertations about: "wheel rail interaction"
Showing result 11 - 15 of 52 swedish dissertations containing the words wheel rail interaction.
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11. Squat defects and rolling contact fatigue clusters - Numerical investigations of rail and wheel deterioration mechanisms
Abstract : Squat defects, a type of localised rolling contact fatigue damage appearing on rail surfaces with rail break as an ultimate consequence, have concerned infrastructure managers for the last couple of decades. In recent years similar types of defects—so-called studs—that are visually resembling squats, have started to appear. READ MORE
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12. Out-of-Round Railway Wheels - Causes and Consequences An Investigation Including Field Tests, Out-of-Roundness Measurements and Numerical Simulations
Abstract : Causes and consequences of out-of-round railway wheels are investigated through literature studies, full-scale field experiments, out-of-roundness measurements, and numerical simulations. Both defects around the complete wheel circumference (e.g. polygonal wheels with wavelengths up to one wheel circumference) and local defects (e. READ MORE
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13. Inverse Identification of Dynamic Wheel-rail Contact Forces
Abstract : Accurate evaluation of contact forces between wheel and rail is essential in the assessmentof vehicle performance and to predict consequences of dynamic vehicle-track interaction.As the contact forces can not be measured directly in the field, one common approachis to measure the strain or acceleration at various positions on a wheel or wheel axle. READ MORE
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14. Influence of railway wheel tread damage and track properties on wheelset durability – Field tests and numerical simulations
Abstract : Wheel tread damage leading to high magnitudes of vertical wheel–rail contact forces is a major cause of train delays in the Swedish railway network, particularly during the coldest months of the year. According to regulations, vehicles generating wheel–rail impact loads exceeding the limit values must be taken out of service for wheel maintenance. READ MORE
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15. Onboard condition monitoring of vehicle-track dynamic interaction using machine learning : Enabling the railway industry’s digital transformation
Abstract : The railway sector’s reliability, availability, maintainability, and safety (RAMS) can significantly improve by adopting condition based maintenance (CBM). In the CBM regime, maintenance decisions are driven by condition monitoring (CM) of the asset. READ MORE