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Keywords: operational modal analysis, subsystem identification, railway suspensions, on-track measurements, stabilization diagram, model validation.

Summary

Identification of the experimental modal parameters of a railway vehicle is a powerful tool in the designing of the suspension elements. However, its application has been scarce because the weight of the system, added to the presence of nonlinearities in the suspension elements, makes the application of conventional modal analysis techniques difficult. The most commonly used techniques have been impact method, relaxation method and excitation by means of one or multiple shakers. This paper presents the application of a combined deterministic-stochastic subspace system identification method for the identification of the modal parameters of a railway vehicle. The proposed testing methodology employs acceleration signals measured during an on-track test. With this methodology, in difference with the other methods, the excitation employed is the one that the vehicle experiences during its normal working conditions, assuring that the identified parameters are those corresponding to the linearized equations of motion corresponding to the excitation level under operating conditions. The proposed technique has been applied to a numerical model and the influence of noise in the measurements has been analyzed. Finally, the proposed testing methodology has been applied to a high speed train. A description of the testing method and results obtained is presented.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 104 PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 251 Application of Modal Analysis on Railway Vehicles using On-track Measurements L.M. Erviti¹ and J.G. Gimenez² ¹CETEST, Test and Analysis Centre, Beasain, Spain ²Construcciones y Auxiliar de Ferrocarriles, S.A. and Tecnun (Universidad de Navarra), Beasain, Spain doi:10.4203/ccp.104.251 purchase the full-text of this paper Full Bibliographic Reference for this paper L.M. Erviti, J.G. Gimenez, "Application of Modal Analysis on Railway Vehicles using On-track Measurements", in J. Pombo, (Editor), "Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 251, 2014. doi:10.4203/ccp.104.251 Keywords: operational modal analysis, subsystem identification, railway suspensions, on-track measurements, stabilization diagram, model validation. Summary Identification of the experimental modal parameters of a railway vehicle is a powerful tool in the designing of the suspension elements. However, its application has been scarce because the weight of the system, added to the presence of nonlinearities in the suspension elements, makes the application of conventional modal analysis techniques difficult. The most commonly used techniques have been impact method, relaxation method and excitation by means of one or multiple shakers. This paper presents the application of a combined deterministic-stochastic subspace system identification method for the identification of the modal parameters of a railway vehicle. The proposed testing methodology employs acceleration signals measured during an on-track test. With this methodology, in difference with the other methods, the excitation employed is the one that the vehicle experiences during its normal working conditions, assuring that the identified parameters are those corresponding to the linearized equations of motion corresponding to the excitation level under operating conditions. The proposed technique has been applied to a numerical model and the influence of noise in the measurements has been analyzed. Finally, the proposed testing methodology has been applied to a high speed train. A description of the testing method and results obtained is presented. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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