A multivariate statistical representation of railway track irregularities using ARMA models
Railway track irregularities occur naturally from service operations and are characterised by deviations of the track relative to its nominal geometry. Since the dynamic behaviour of a rail vehicle depends on the geometry of the track, studying irregularities is essential for safety, comfort, and maintenance. Conventionally, an irregularity is synthesised from a univariate stochastic process, which is a suitable way to represent excitations occurring in one dimension. However, most three-dimensional analyses of rail vehicles require a multivariate description of the irregularities. Therefore, synthesising multiple variables using univariate processes neglects possible relationships among them. This work addresses track irregularities from a multivariate series perspective to model the spatial autocorrelation of each irregularity and their spatial correlation with other types of irregularities. Several multivariate models with different complexity levels are estimated from the irregularities of a 3.6-km long straight track segment. A comparison among models shows that they should be selected based on not only statistical information criteria, but also their ability to reproduce relevant physical characteristics. Finally, a case study shows that the vehicle response to irregularities that are synthesised using the proposed multivariate process matches the response to measured data better than irregularities synthesised using independent univariate processes.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00423114
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Supplemental Notes:
- © 2021 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Costa, J N
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0000-0002-8261-406X
- Ambrósio, J
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0000-0001-6681-5657
- Frey, D
- Andrade, A R
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0000-0002-7339-7016
- Publication Date: 2022-7
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 2494-2510
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Serial:
- Vehicle System Dynamics
- Volume: 60
- Issue Number: 7
- Publisher: Taylor & Francis
- ISSN: 0042-3114
- EISSN: 1744-5159
- Serial URL: https://www.tandfonline.com/toc/nvsd20/current
Subject/Index Terms
- TRT Terms: Defects; Multivariate analysis; Railroad tracks; Rolling contact; Train track dynamics
- Identifier Terms: ARMA (Auto-Regressive Moving Average model); Multibody System (MBS)
- Subject Areas: Maintenance and Preservation; Railroads; Vehicles and Equipment;
Filing Info
- Accession Number: 01855981
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 24 2022 3:05PM