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A time domain method for wheel-rail force identification of rail vehicles.

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Title: A time domain method for wheel-rail force identification of rail vehicles.
Authors: Zhu, Tao1 (AUTHOR) zhutao034@swjtu.cn, Wang, Xiao-rui1 (AUTHOR), Fan, Yi-wei2 (AUTHOR), Wang, Ming-meng1 (AUTHOR), Zhang, Jing-ke1 (AUTHOR), Xiao, Shou-ne1 (AUTHOR), Yang, Guang-wu1 (AUTHOR), Yang, Bing1 (AUTHOR)
Source: Vehicle System Dynamics. Mar2022, Vol. 60 Issue 3, p790-809. 20p.
Subjects: Structural dynamics, Lateral loads, Acceleration measurements, Dynamic loads, Vehicles, Wheels, Virtual prototypes, Bogies (Vehicles)
Abstract: Using dynamic load identification technology to identify the wheel-rail force of rail vehicles is an economical and convenient method for indirect measurement. In this paper an analytical load identification method is proposed. Firstly, based on the theory of structural dynamics, the Duhamel integral is applied, combined with the characteristics of the rail vehicle system, to derive the analytical load identification method. Secondly, the correctness of the method is verified by a multi-degree-of-freedom system with exact solution. Next, a detailed vehicle dynamics simulation model is established as a virtual test vehicle and source of virtual measurements of the vehicle responses (axlebox accelerations). Different operating conditions are considered, and the virtual acceleration measurements are used as input to the load identification method for indirect measurement of the wheel-rail forces. Finally, the identified vertical and lateral wheelset force, vertical force of the left and right wheels, derailment coefficient and wheel unloading rate are compared with the corresponding time-histories from the virtual test-vehicle simulations. A good agreement is found with all of their correlation coefficients above 0.8. This result has important implications on the safety evaluation of vehicle curve negotiation by using acceleration measurements only, without the need for direct force measurements. [ABSTRACT FROM AUTHOR]
Copyright of Vehicle System Dynamics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 155732425
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A time domain method for wheel-rail force identification of rail vehicles.
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  Data: <searchLink fieldCode="AR" term="%22Zhu%2C+Tao%22">Zhu, Tao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhutao034@swjtu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Xiao-rui%22">Wang, Xiao-rui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fan%2C+Yi-wei%22">Fan, Yi-wei</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Ming-meng%22">Wang, Ming-meng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Jing-ke%22">Zhang, Jing-ke</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xiao%2C+Shou-ne%22">Xiao, Shou-ne</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Guang-wu%22">Yang, Guang-wu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Bing%22">Yang, Bing</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Vehicle+System+Dynamics%22">Vehicle System Dynamics</searchLink>. Mar2022, Vol. 60 Issue 3, p790-809. 20p.
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  Data: <searchLink fieldCode="DE" term="%22Structural+dynamics%22">Structural dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Lateral+loads%22">Lateral loads</searchLink><br /><searchLink fieldCode="DE" term="%22Acceleration+measurements%22">Acceleration measurements</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamic+loads%22">Dynamic loads</searchLink><br /><searchLink fieldCode="DE" term="%22Vehicles%22">Vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Wheels%22">Wheels</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+prototypes%22">Virtual prototypes</searchLink><br /><searchLink fieldCode="DE" term="%22Bogies+%28Vehicles%29%22">Bogies (Vehicles)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Using dynamic load identification technology to identify the wheel-rail force of rail vehicles is an economical and convenient method for indirect measurement. In this paper an analytical load identification method is proposed. Firstly, based on the theory of structural dynamics, the Duhamel integral is applied, combined with the characteristics of the rail vehicle system, to derive the analytical load identification method. Secondly, the correctness of the method is verified by a multi-degree-of-freedom system with exact solution. Next, a detailed vehicle dynamics simulation model is established as a virtual test vehicle and source of virtual measurements of the vehicle responses (axlebox accelerations). Different operating conditions are considered, and the virtual acceleration measurements are used as input to the load identification method for indirect measurement of the wheel-rail forces. Finally, the identified vertical and lateral wheelset force, vertical force of the left and right wheels, derailment coefficient and wheel unloading rate are compared with the corresponding time-histories from the virtual test-vehicle simulations. A good agreement is found with all of their correlation coefficients above 0.8. This result has important implications on the safety evaluation of vehicle curve negotiation by using acceleration measurements only, without the need for direct force measurements. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Vehicle System Dynamics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/00423114.2020.1838562
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 20
        StartPage: 790
    Subjects:
      – SubjectFull: Structural dynamics
        Type: general
      – SubjectFull: Lateral loads
        Type: general
      – SubjectFull: Acceleration measurements
        Type: general
      – SubjectFull: Dynamic loads
        Type: general
      – SubjectFull: Vehicles
        Type: general
      – SubjectFull: Wheels
        Type: general
      – SubjectFull: Virtual prototypes
        Type: general
      – SubjectFull: Bogies (Vehicles)
        Type: general
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      – TitleFull: A time domain method for wheel-rail force identification of rail vehicles.
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            NameFull: Zhu, Tao
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            NameFull: Wang, Xiao-rui
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            – D: 01
              M: 03
              Text: Mar2022
              Type: published
              Y: 2022
          Identifiers:
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              Value: 00423114
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              Value: 60
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            – TitleFull: Vehicle System Dynamics
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