A Simulation Study on Characterizing Transfer Functions of Railway Tracks Using Train-Borne Laser Doppler Vibrometer

Yuanchen Zeng*, Alfredo Núñez, Zili Li

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

Due to train load and aging, the dynamic properties of railway tracks degrade over time and deviate over space, which should be monitored to facilitate track maintenance decisions. A train-borne laser Doppler vibrometer (LDV) can directly measure track vibrations in response to the moving train load, which can be potentially applied to large-scale rail infrastructure monitoring. This paper characterizes track structures as a distributed system by estimating transfer functions between the wheel-rail force and the response of each sleeper measured by a train-borne LDV. A challenge with this technique is that a train-borne LDV measures only a fragment of the response for each sleeper while the train load is moving. To investigate the feasibility of this technique and the influence of key factors, we perform numerical simulations using a vehicle-track model and analyze the estimation performance through comparison with simulated impact hammer tests. We find that the transfer function estimated under a moving excitation is close to but noisier than that estimated under an impact load. Partial measurement affects the estimation performance significantly, and a wider sleeper provides a better estimate and a higher frequency resolution. Train speed is a crucial factor for a train-borne LDV system. As the vehicle speed increases, the estimation performance gets better at high frequencies but worse at low frequencies.

Original languageEnglish
Title of host publicationExperimental Vibration Analysis for Civil Engineering Structures
Subtitle of host publicationEVACES 2023 - Volume 1
EditorsMaria Pina Limongelli, Pier Francesco Giordano, Carmelo Gentile, Said Quqa, Alfredo Cigada
PublisherSpringer
Pages183-192
Number of pages10
Volume1
ISBN (Electronic)978-3-031-39109-5
ISBN (Print)9783031391088, 978-3-031-39111-8
DOIs
Publication statusPublished - 2023
Event10th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, 2023 - Leonardo Campus of Politecnico di Milano, Milan, Italy
Duration: 30 Aug 20231 Sept 2023
https://www.evaces2023.polimi.it/

Publication series

NameLecture Notes in Civil Engineering
Volume432 LNCE
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference10th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, 2023
Abbreviated titleEVACES 2023
Country/TerritoryItaly
CityMilan
Period30/08/231/09/23
Internet address

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Laser Doppler Vibrometer
  • Moving Load
  • Railway Tracks
  • Transfer Function Estimation
  • Vibration Measurement

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