Skip to content
2000
Volume 18, Issue 1
  • ISSN: 2212-7976
  • E-ISSN: 1874-477X

Abstract

Background

The traditional chord reference method and its device have faced challenges matching the sharp curve track. Thus, it is of utmost importance to research and develop a measurement device and method that can obtain accurate and comprehensive information regarding rail running band corrugation.

Aims

It provides a solution for the measurement of the multi-point chord reference method on sharply curved rails and, at the same time, meets the demand for data richness and accuracy in theoretical studies on the causes of rail corrugation and wheel-rail contact relationships.

Objective

This paper aims to research and design a measurement device based on the multi-point chord reference method for the rail running band corrugation. Meanwhile, the error in measuring the sharp curve rail is corrected and verified by simulation.

Methods

The lateral information of rail running band is obtained by using a line laser profile sensor; the rail corrugation measurement model and error correction model of the rail running band area are established based on multi-point reference system; the simulation of the system model is carried out using Matlab; and the mechanical structure is built for static testing in the patent.

Results

The measurement model based on the profile sensor and multi-point chord reference system can accurately obtain the rail corrugation waveform of any longitudinal measurement line in the running band area. The measurement results can be accurately corrected for a radius of 200 m-400 m, the error parameters can be effectively improved, and the mechanical mechanism of the measurement system runs stably.

Conclusion

The results show that the measurement model can accurately measure the rail corrugation of the sharp curve section, and the multi-waveform in the rail running band area has good measurement performance, but the mechanical structure can be optimized and improved in the light weight.

Loading

Article metrics loading...

/content/journals/meng/10.2174/0122127976300871240424113630
2024-05-09
2025-11-04
Loading full text...

Full text loading...

References

  1. TorstenssonP.T. NielsenJ.C.O. Monitoring of rail corrugation growth due to irregular wear on a railway metro curve.Wear20092671-455656110.1016/j.wear.2009.01.046
    [Google Scholar]
  2. ShenG. MaoX. MaoW.L. Statusand future trend of wheel/rail system.J. Traffic Transp. Eng.20222214257
    [Google Scholar]
  3. FangG. WangY. PengZ. WuT. Theoretical investigation into the formation mechanism and mitigation measures of short pitch rail corrugation in resilient tracks of metros.Proc. Inst. Mech. Eng., F J. Rail Rapid Transit201823292260227110.1177/0954409718769750
    [Google Scholar]
  4. JinX. LiX. LiW. Review of rail corrugation progress.J. Southwest Jiaotong University2016512264273
    [Google Scholar]
  5. ZhuH.Y. YuanY. XiaoQ. Research progress on rail corrugation.J. Traffic Transp. Eng.20212103110133
    [Google Scholar]
  6. GrassieS.L. Rail corrugation: Advances in measurement, understanding and treatment.Wear20052587-81224123410.1016/j.wear.2004.03.066
    [Google Scholar]
  7. GrassieS.L. Traction, curving and surface damage of rails, Part 2: Rail damage.Proc. Inst. Mech. Eng., F J. Rail Rapid Transit2015229333033910.1177/0954409714541648
    [Google Scholar]
  8. GrassieS.L. Rail corrugation: A problem solved?Wear2023530–531205005
    [Google Scholar]
  9. YinX. WeiX. ZhengH. Applying system dynamics of discrete supported track to analyze the rail corrugation causation on curved urban railway tracks.J Discrete Dyn. Nature Soc202122121
    [Google Scholar]
  10. GrassieS.L. The corrugation of railway rails: 1. Introduction and mitigation measures.Proc. Inst. Mech. Eng., F J. Rail Rapid Transit2023237558859610.1177/09544097221125626
    [Google Scholar]
  11. GrassieS.L. The corrugation of railway rails: 2. Monitoring and conclusions.Proc. Inst. Mech. Eng., F J. Rail Rapid Transit2023237559760510.1177/09544097221122011
    [Google Scholar]
  12. ZhaoY. ZhaoC. WangL. A rail corrugation evaluation method using fractal characterization based on structure function method J Wear: An International Journal on the Science and Technology of Friction. Wear.2022506-507: 204454.10.1016/j.wear.2022.204454
    [Google Scholar]
  13. GrassieS.L. Measurement of long wavelength irregularities on rails.Notes Numer. Fluid Mech. Multidiscip. Des.201512664364910.1007/978‑3‑662‑44832‑8_76
    [Google Scholar]
  14. British Standards InstitutionRailway applications—Acoustics—Rail and wheel roughness measurement related to noise generation.BS EN 15610:2019. London: BSI2019
    [Google Scholar]
  15. GrassieS.L. Measurement of railhead longitudinal profiles: A comparison of different techniques.Wear19961911-224525110.1016/0043‑1648(95)06732‑9
    [Google Scholar]
  16. GrassieS.L. A practical methodology to prioritise reprofiling sites for corrugation removal.Proc. Inst. Mech. Eng., F J. Rail Rapid Transit2020234436236910.1177/0954409719853071
    [Google Scholar]
  17. WeiH. LiuH.L. MaZ.J. A wide-area measurement method of rail corrugation based on the combination-chord system.J Northwest. Univ.2018482199208
    [Google Scholar]
  18. YangF. SunX.F. TanS.H. Evaluation difference of dynamic and static track irregularity and characteristics of dynamic chord measurement method.J Southwest Jiaotong University2022570612391249
    [Google Scholar]
  19. XieW LiFM WanXW Steel rail leveling ruler measuring device.C.N. Patent 213657732U2021
  20. YaangX CaiGQ HongMY A rail height measuring flat ruler with a fixed device.C.N. Patent 217637119U2022
  21. JiangJ. MaD.L. LiY.P. Steel rail irregularity data processing method.C.N. Patent 1120975862020
  22. ShiT.L. WeiM. GuoW.Z. Rail detection trolley.C.N. Patent 1062454742016
  23. BaiHL ZhangFC ZongZ Corrugation measures dolly.C.N. Patent 207335660U2017
  24. YangY. YiB. ChenF. Two-dimensional laser dynamic detection device and method of steel rail profiles and corrugations.C.N. Patent 1078397142017
  25. PengK.L. LiuP. LvG.Q. Non-contact steel rail corrugation and contour detecting device.C.N. Patent 1093533702018
  26. YangG. SunZ.Y. LiangY.X. Urban rail corrugation fault detection device.C.N. Patent 1151233362022
  27. RenZ WangLM WangX Rail corrugation detection device.C.N. Patent 216115897U2021
  28. VeutchAJ System and method for inspecting a rail.E.P. Patent 3717330A12020
  29. ScherfW LuddeneitM Arrangement for determining the profile of rails in laid track systems.T.W. Patent 201404639A2014
  30. StadieU. Apparatus for inspecting rails.E.P. Patent 1548400A12005
  31. TabteA GaspardO AravindakshanG Transport trolley for a track laying and maintenance machine.E.P. Patent 4290008A12023
  32. Bedoya-ZapataÁ.D. Rojas-ParraS. Díaz-MazoJ.H. García-JiménezJ.A. López-LondoñoJ.E. Vergara-PuelloR.A. MolinaL.F. Santa-MarínJ.F. ToroA. MesaritisM. LewisR. PalacioM. Case study: Understanding the formation of squat-type defects in a metropolitan railway.Eng. Fail. Anal.2021123110532510.1016/j.engfailanal.2021.105325
    [Google Scholar]
  33. ZhangH. LiuW. ChenJ. Monitoring rail corrugation growth on a metro curve.In: Proceedings of the International Conference on Railway Engineering,2014
    [Google Scholar]
  34. SantaJ.F. ToroA. LewisR. Correlations between rail wear rates and operating conditions in a commercial railroad.Tribol. Int.20169551210.1016/j.triboint.2015.11.003
    [Google Scholar]
  35. ZhangJ.N. LiuX.Z. LiM.K. Rail corrugation measuring method.C.N. Patent 1154063562023
  36. MaZ.J. HuangP. TengY. Rail corrugation measuring method.C.N. Patent 1097988502019
  37. GanF. DaiH.Y. LuoG.B. Steel rail corrugation detection device.C.N. Patent 1112077132020
  38. MaK.K. YangX.W. ZhangZ. Research on detection and positioning method of rail corrugation based on structural light vision.Jixie Gongcheng Xuebao2022582214014710.3901/JME.2022.22.140
    [Google Scholar]
  39. XuM.J. Dual-track rail corrugation detector based on laser triangulation ranging method.J Urban Mass Transit20232606225229
    [Google Scholar]
  40. TanakaH. ShimizuA. Practical application of portable trolley for the continuous measurement of rail surface roughness for rail corrugation maintenance.Quarterly Report of RTRI201657211812410.2219/rtriqr.57.2_118
    [Google Scholar]
  41. WangY. XuJ.H. ChenR. Research on mathematical model of accurate value of track irregularity based on midpoint chord measurement method.J Railway Engineering20155139143
    [Google Scholar]
  42. YinH. WanL. Uncertainty evaluation for rail corrugation measurement based upon multi-chord method.J Railw. Sci. Eng.2020171230363044
    [Google Scholar]
  43. MaZ XuK TengY A model of extraction of rail's vertical corrugation based on flexible virtual ruler.IEEE Trans. Intell. Transp. Syst.202223210971108
    [Google Scholar]
  44. CongJ. TangH. WangY. ChenR. WangP. Experimental and numerical investigations of asymmetric chord-reference system regarding track geometry measurement.Measurement202118210974310.1016/j.measurement.2021.109743
    [Google Scholar]
  45. LiY. LiuH. MaZ. WangC. ZhongX. Rail corrugation broadband measurement based on combination-chord model and LS.IEEE Trans. Instrum. Meas.201867493894910.1109/TIM.2017.2789067
    [Google Scholar]
  46. TengY. LiuH. LiuJ. WangC. MaZ. A rail corrugation measurement method based on data splicing.Measurement2020156210756010.1016/j.measurement.2020.107560
    [Google Scholar]
  47. TengY. LiuH.L. MaZ.J. Dynamic measurement method for rail corrugation based on 2D displacement laser sensor.J Transducer Microsys. Technol.2023425121125
    [Google Scholar]
  48. ChenL. Research on key issue of rail corrugation dynamic measurement based on chord measurement method.Master Dissertation. Changsha China:Hunan University2019
    [Google Scholar]
  49. WangC. ZengJ. Combination-chord measurement of rail corrugation using triple-line structured-light vision: Rectification and optimization.IEEE Trans. Intell. Transp. Syst.202122117256726510.1109/TITS.2020.3004918
    [Google Scholar]
  50. MmgS YounesianD TorabiM . A high accuracy and high speed imaging and measurement system for rail corrugation inspection.IEEE Trans. Ind. Electron.202168988949803
    [Google Scholar]
  51. ChenL LiY MaZ Vision-based position deviation measurement of rail corrugation chord measuring points under bi-linear laser assistance.IEEE Access20219362073621710.1109/ACCESS.2021.3062663
    [Google Scholar]
  52. MauzF. WiggerR. GriesbaumL. WahlT. KuffaM. WegenerK. Acoustic roughness measurement of railway tracks: Running surface detection and compensation of lateral movements for optical measurements on a train.Sensors20232312576410.3390/s2312576437420928
    [Google Scholar]
  53. MauzF. WiggerR. WahlT. KuffaM. WegenerK. Acoustic roughness measurement of railway tracks: laboratory investigation of external disturbances on the chord-method with an optical measurement approach.Appl. Sci.20221215773210.3390/app12157732
    [Google Scholar]
  54. WangY. TangH. WangP. LiuX. ChenR. Multipoint chord reference system for track irregularity: Part I – Theory and methodology.Measurement201913824025510.1016/j.measurement.2019.01.080
    [Google Scholar]
  55. WangY. TangH. WangP. LiuX. ChenR. Multipoint chord reference system for track irregularity: Part II – Numerical analysis.Measurement201913819420510.1016/j.measurement.2019.01.081
    [Google Scholar]
  56. WangY. Tang H ChenR WangP Multipoint chord reference system for track irregularity: Part I – Theory and methodology.Measurement.201913433634610.1016/j.measurement.2018.10.083
    [Google Scholar]
  57. WangY. Track waveform determination method and device, electronic equipment and storage medium.C.N. Patent 1120333162020
  58. JeongW. Spectral characteristics of rail surface by measuring the growth of rail corrugation.Appl. Sci.20211120956810.3390/app11209568
    [Google Scholar]
  59. JeongD. ChoiH. ChoiY. JeongW. Measuring acoustic roughness of a longitudinal railhead profile using a multi-sensor integration technique.Sensors2019197161010.3390/s1907161030987222
    [Google Scholar]
  60. JeongW. JeongD. Acoustic roughness measurement of railhead surface using an optimal sensor batch algorithm.Appl. Sci.2020106211010.3390/app10062110
    [Google Scholar]
  61. ZhangZ. ZhaoR. LiuE. YanK. MaY. Scale estimation and correction of the monocular simultaneous localization and mapping (SLAM) based on fusion of 1D laser range finder and vision data.Sensors2018186194810.3390/s1806194829914114
    [Google Scholar]
  62. SeunghoC. SeoyeonK. A mechanism to profile pavement blocks and detect cracks using 2D line laser on vehicles.J. Inst.2021215135140
    [Google Scholar]
  63. FengK. YuL. ZhanD. Research on fast and robust matching algorithm in inspection of full cross-section rail profile.J. China Railw. Soc.20194105162167
    [Google Scholar]
  64. LiuH.L. LiuW. MaZ.J. Method of real-time recognizing effective rail profiles from complex track structures.J. China Railw. Soc.20204212106112
    [Google Scholar]
  65. LiY.F. LiuH.L. MaZ.J. A method of calibrating dynamic rail profile based on parameters estimated by double match.J. China Railw. Soc.2018403117124
    [Google Scholar]
  66. WangZ. LeiZ. Analysis of influence factors of rail corrugation in small radius curve track.Mech. Sci.2021121314010.5194/ms‑12‑31‑2021
    [Google Scholar]
  67. TorstenssonP.T. SchilkeM. Rail corrugation growth on small radius curves—Measurements and validation of a numerical prediction model.Wear20133031-238139610.1016/j.wear.2013.03.029
    [Google Scholar]
  68. JiaoP.Y. WangW.B. GuanQ.H. Analysis of the characteristics of rail corrugation in a metro loop line based on measurement data.J Noise Vib Control20234306149156
    [Google Scholar]
  69. WangM.H. GuX.H. WangA.B. Research on the mechanism of short wavelength corrugation generation on rail based on circular test rig.J Railw. Sci. Eng.2024112
    [Google Scholar]
  70. Beijing Urban Engineering Design & Research Institute Co., LTD. Code for design of metro: GB 50157-2013.Beijing, ChinaChina Architecture & Building Press2014
    [Google Scholar]
  71. ZavadskasE.K. MardaniA. TurskisZ. JusohA. NorK.M.D. Development of TOPSIS method to solve complicated decision-making problems — An overview on developments from 2000 to 2015.Int. J. Inf. Technol. Decis. Mak201615364568210.1142/S0219622016300019
    [Google Scholar]
  72. JiangM. YangY. QiuW.S. Optimal decision method of rail grinding pattern oriented to rail profile quality.J Railw. Sci. Eng.20232002537544
    [Google Scholar]
  73. EvansJ. BergM. Challenges in simulation of rail vehicle dynamics. Vehicle System Dynamics.20094781023104810.1080/00423110903071674
    [Google Scholar]
  74. TounsiA. BousahlaA.A. TahirS.I. Influences of different boundary conditions and hygro-thermal environment on the free vibration responses of FGM sandwich plates resting on viscoelastic foundation.Int. J. Struct. Stab. Dyn.20242450117
    [Google Scholar]
  75. TounsiA. MostefaA.H. AttiaA. Free vibration investigation of functionally graded plates with temperature-dependent properties resting on a viscoelastic foundation.J Struct. Eng. Mech.2023861116
    [Google Scholar]
  76. BouafiaK SelimMM BouradaF Bending and free vibration characteristics of various compositions of FG plates on elastic foundation via quasi 3D HSDT model.J Steel Compos. Struct.2021414487503
    [Google Scholar]
  77. ZhangW.Y. Measuring mixing patterns in complex networks by spearman rank correlation coefficient.Phys. A: Stat. Mech. Appl.201645144045010.1016/j.physa.2016.01.056
    [Google Scholar]
  78. RadomirB. ŽivoslavA. MilanB. Modeling of reliability and availability of data transmission in railway system.Adv. Eng. Lett.202214136141
    [Google Scholar]
/content/journals/meng/10.2174/0122127976300871240424113630
Loading
/content/journals/meng/10.2174/0122127976300871240424113630
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test