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2008•Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid TransitRequires access

Assessment of vertical track geometry quality based on simulations of dynamic track—vehicle interaction

M. X.D. Li, Eric Berggren, Mats Berg

Open publisher page 26 citations

Abstract

A study assessing vertical track geometry quality based on simulations of dynamic track—vehicle interaction is presented in this article. The dynamic model is composed of track, vehicle, and wheel—rail contact with moving irregularities and is solved in the frequency domain by fast Fourier transform or in the time domain by constructing a filter function based on system identification. Frequency-dependent stiffness and loss factor of railpads are used in this study. Numerical simulations are carried out for a 120 km long track to demonstrate the potential benefits of enhancing track quality assessment by calculating wheel—rail forces.

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What this paper is about

A study assessing vertical track geometry quality based on simulations of dynamic track—vehicle interaction is presented in this article. The dynamic model is composed of track, vehicle, and wheel—rail contact with moving irregularities and is solved in the frequency domain by fast Fourier transform or in the time domain by constructing a filter function based on system identification. Frequency-dependent stiffness and loss factor of railpads are used in this study. Numerical simulations are carried out for a 120 km long track to demonstrate the potential benefits of enhancing track quality assessment by calculating wheel—rail forces.

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Available abstract

A study assessing vertical track geometry quality based on simulations of dynamic track—vehicle interaction is presented in this article. The dynamic model is composed of track, vehicle, and wheel—rail contact with moving irregularities and is solved in the frequency domain by fast Fourier transform or in the time domain by constructing a filter function based on system identification. Frequency-dependent stiffness and loss factor of railpads are used in this study. Numerical simulations are carried out for a 120 km long track to demonstrate the potential benefits of enhancing track quality assessment by calculating wheel—rail forces.

Key concepts: Track (disk drive), Track geometry, Frequency domain, Filter (signal processing), Computer science, Quality (philosophy), Fourier transform, Stiffness

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