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Research paper | Open Access

Comparison study on measurement of rail weld joint between inertial reference method and multi-point chord reference method

Yifan Shi1( )Yuan Wang2Xiaozhou Liu3Ping Wang4
Track Reasearch Lab, School of Civil Engineering, Southwest Jiaotong University (SWJTU), Chengdu, China
Shenzhen EboRail Technology Co., Ltd., Shenzhen, China
College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen, China
The Hong Kong Polytechnic University, Hung Hom, China
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Abstract

Purpose

Straightness measurement of rail weld joint is of essential importance to railway maintenance. Due to the lack of efficient measurement equipment, there has been limited in-depth research on rail weld joint with a 5-m wavelength range, leaving a significant knowledge gap in this field.

Design/methodology/approach

In this study, the authors used the well-established inertial reference method (IR-method), and the state-of-the-art multi-point chord reference method (MCR-method). Two methods have been applied in different types of rail straightness measurement trollies, respectively. These instruments were tested in a high-speed rail section within a certain region of China. The test results were ultimately validated through using traditional straightedge and feeler gauge methods as reference data to evaluate the rail weld joint straightness within the 5-m wavelength range.

Findings

The research reveals that IR-method and MCR-method produce reasonably similar measurement results for wavelengths below 1 m. However, MCR-method outperforms IR-method in terms of accuracy for wavelengths exceeding 3 m. Furthermore, it was observed that IR-method, while operating at a slower speed, carries the risk of derailing and is incapable of detecting rail weld joints and low joints within the track.

Originality/value

The research compare two methods’ measurement effects in a longer wavelength range and demonstrate the superiority of MCR-method.

References

 

Chen, Y., Xu, Y., Zhou, Y., & Chen, W. (2011). Theory and research of asymmetrical chord offset method of restoring a waveform of track irregularity. Journal of East China Jiaotong University, 28(1), 42–46.

 

Cong, J., Yan, X., Chen, R., Gao, M., An, B., Tang, H., . . . Wang, P. (2023). Profile evaluation of rail joint in a 3-m wavelength based on unsupervised learning. Computer-Aided Civil and Infrastructure Engineering, 38(13), 1834–1856. doi: 10.1111/mice.12945.

 

Fan, J. (2004). Modern railway track. Beijing: China Railway Press.

 

Grassie, S. L. (1996a). Measurement of railhead longitudinal profiles: A comparison of different techniques. Wear, 191(1-2), 245–251. doi: 10.1016/0043-1648(95)06732-9.

 

Grassie, S. L. (1996b). Short wavelength rail corrugation: Field trials and measuring technology. Wear, 191(1-2), 149–160. doi: 10.1016/0043-1648(95)06755-8.

 

Grassie, S. L. (2005). Rail corrugation: Advances in measurement, understanding and treatment. Wear, 258(7-8), 1224–1234. doi: 10.1016/j.wear.2004.03.066.

 

Grassie, S. L. (2012). Rail irregularities, corrugation and acoustic roughness: Characteristics, significance and effects of reprofiling. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 226(5), 542–557. doi: 10.1177/0954409712443492.

 

Grassie, S. L., & Kalousek, J. (1993). Rail corrugation: Characteristics, causes and treatments. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 207(1), 57–68. doi: 10.1243/pime_proc_1993_207_227_02.

 

Grassie, S. L., Saxon, M. J., & Smith, J. D. (1999). Measurement of longitudinal rail irregularities and criteria for acceptable grinding. Journal of Sound and Vibration, 227(5), 949–964. doi: 10.1006/jsvi.1999.2980.

 

Haigermoser, A., Luber, B., Rauh, J., & Gräfe, G. (2015). Road and track irregularities: Measurement, assessment and simulation. Vehicle System Dynamics, 53(7), 878–957. doi: 10.1080/00423114.2015.1037312.

 
Lewis, R., & Olofsson, U. (Eds) (2009), Wheel-rail interface handbook. Amsterdam: Elsevier.
 

Li, Z., Molodova, M., Núñez, A., & Dollevoet, R. (2015). Improvements in axle box acceleration measurements for the detection of light squats in railway infrastructure. IEEE Transactions on Industrial Electronics, 62(7), 4385–4397. doi: 10.1109/tie.2015.2389761.

 

Liu, C. (2015). Practice and application of wave mill measurement using inertial method. China Science and Technology Zongheng, 3, 86–87.

 
Liu, W. (2016). Design and implementation of corrugation inspection car based on chord measurement theory. Master thesis, Lanzhou: Lanzhou Jiaotong University (in Chinese).
 

Mao, X., Xu, Y., & Zhou, Y. (2013). Rail surface irregularities detection and restoration based on four-point chord reference method. Journal of East China Jiaotong University, (5), 13–17.

 
Nielsen, J., Berggren, E., Lölgen, T., & Müller, R. (2013). Overview of methods for measurement of track irregularities. RIVAS Railway Induced Vibration Abatement Solutions Collaborative Project.
 
Wang, S. (2014). Study on effect of rail corrugation on vehicle vibration and dynamic stress of frame. Doctoral dissertation, Beijing: Beijing Jiaotong University.
 
Wang, Y. (2021). Theory and application of multipoint chord reference system for track geometry. Master thesis, Sichuan: Southwest Jiaotong University (in Chinese).
 

Wang, P., Wang, Y., Tang, H., Gao, M., Chen, R., & Xu, J. (2018). Error theory of chord-based measurement system regarding track geometry and improvement by high frequency sampling. Measurement, 115, 204–216. doi: 10.1016/j.measurement.2017.10.019.

 

Wang, Y., Xu, J., Chen, Y., Xiao, J., & Wang, P. (2015). Research on mathematical model of accurate value of track irregularity based on midpoint chord measurement method. Railway Construction, 5, 139–143.

 
Wang, S., Xu, Y., Zhou, Y., Li, H., & Chen, W. (2012). Study of rail surface irregularity detection based on asymmetrical chord offset method. In Proceedings of the 2012 third international conference on mechanic automation and control engineering (pp. 829–832).
 

Xu, Z., Cong, J., Zhao, M., Wang, P., & Chen, R. (2022). Wheel rail response analysis based on the irregularity of 3M wavelength metro rail weld joint. Railway Standard Design, 68(2), 1–8.

 

Xu, J., Wang, P., Wang, L., & Xiao, J. (2016). Sensitive wavelengths of vertical track irregularities by frequency-domain method. Journal of Central South University (Natural Science Edition), 47(2), 683–689.

 

Xu, J., Xu, C., Femg, Q., Wang, H., & Sun, K. (2021). Influence factors of short-wave irregularity based on inertial reference method. Journal of Shenzhen University Science and Engineering, 38(4), 347–357. doi: 10.3724/sp.j.1249.2021.04347.

 

Yang, Y., Tao, G., & Fu, Q. (2017). Field measurement and safety limits of rail weld irregularity on LIM metro line. Chinese Journal of Mechanical Engineering, 53(10), 125–135. doi: 10.3901/jme.2017.10.125.

 

Yin, H., Zhu, H., Wang, Z., Wu, W., & Jin, Z. (2017). Rail short-wave irregularity measurement based upon a multi-midpoint chord model. Vibration and Shock, 36(14), 178–182.

 
Yu, Z. (2008). Study on kinematical measurement technology of line geometry in railway safety detection. Beijing: Beijing Jiaotong University.
 

Zhang, M. (2022). Application analysis of monorail wave mill measurement trolley (CAT) in subway operation. Electromechanical Information, 8, 53–56.

Railway Sciences
Pages 69-83
Cite this article:
Shi Y, Wang Y, Liu X, et al. Comparison study on measurement of rail weld joint between inertial reference method and multi-point chord reference method. Railway Sciences, 2024, 3(1): 69-83. https://doi.org/10.1108/RS-10-2023-0038

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Received: 13 October 2023
Revised: 07 December 2023
Accepted: 12 December 2023
Published: 10 January 2024
© Yifan Shi, Yuan Wang, Xiaozhou Liu and Ping Wang. Published in Railway Sciences.

This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode

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