Author
Listed:
- Pengjiao Wang
(School of Civil Engineering, Central South University, Changsha 410075, China)
- Fengqi Guo
(School of Civil Engineering, Central South University, Changsha 410075, China)
- Hong Zhang
(College of Mechanical and Intelligent Manufacturing, Central South University of Forestry and Technology, Changsha 410075, China)
- Junhui Jin
(Zhuzhou CRRC Special Equipment Technology Co., Zhuzhou 412001, China)
- Qiaoyun Liao
(Zhuzhou CRRC Special Equipment Technology Co., Zhuzhou 412001, China)
- Yongfeng Yan
(Zhuzhou CRRC Special Equipment Technology Co., Zhuzhou 412001, China)
Abstract
Accurate measurement of track irregularity and the corresponding spectrum is essential for evaluating the performance of transportation systems. Chord measuring methods can achieve fine accuracy but are limited by waveform distortion and a restricted range of recoverable wavelength. To address this, this work explores the effectiveness of integrating inclination data in chord-based measurement to obtain a higher precision and more reliable spectrum. Firstly, the theoretical principles and mathematics of the proposed method are described. We demonstrate that by utilizing inclinometer sensors, the measuring reference can be maintained throughout the measurement, therefore obtaining an authentic waveform of track irregularity. Adaptive technics are employed to examine and extract cumulative components in the measured signal, which also benefits the accuracy of spectral estimation. Error analysis is then conducted by simulated sampling. Furthermore, a case study of field measurement and numerical simulation via multi-body dynamics for a monorail system is presented. The results verify the accuracy and robustness of the proposed method, showing that it provides a broader range of recoverable wavelength, minimum parametric interference, and advantages of signal authenticity. The simulation results prove the significant effects of track irregularity on the dynamic response of the monorail system, hence revealing the value of the presented methods and results.
Suggested Citation
Pengjiao Wang & Fengqi Guo & Hong Zhang & Junhui Jin & Qiaoyun Liao & Yongfeng Yan, 2024.
"Acquiring the High-Precision Spectrum of Track Irregularity by Integrating Inclination in Chord Methods: Mathematics, Simulation, and a Case Study,"
Mathematics, MDPI, vol. 12(14), pages 1-21, July.
Handle:
RePEc:gam:jmathe:v:12:y:2024:i:14:p:2197-:d:1434302
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:12:y:2024:i:14:p:2197-:d:1434302. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.