Article
Engineering, Mechanical
Rushabh Gadhave, N. S. Vyas
Summary: A Feed Forward Neural Network architecture is proposed to estimate rail-wheel forces and track irregularities from sensor data. Simulation studies on passenger coaches running over various irregular rail tracks validate the accuracy of estimates.
VEHICLE SYSTEM DYNAMICS
(2022)
Article
Chemistry, Multidisciplinary
Jung-Youl Choi, Dong-Ryong Park, Jee-Seung Chung, Sun-Hee Kim
Summary: This study investigates the correlation between track irregularities and wheel-rail interaction force on a ballasted track using a load-based technique. Numerical analysis and field measurements were compared to demonstrate the correlation, highlighting the necessity for load-based track-irregularity-management methods. The results show that the maximum track irregularities occur approximately 10 meters before and after the maximum dynamic wheel load, suggesting that track damage can be caused by impact load even if maintenance criteria are met.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Mechanical
Lei Xu, Bin Zhu, Mansur Barhama Abulfathi, Yichen Meng
Summary: The study introduces a probabilistic model of track irregularities to select representative track irregularity sets with smaller samples. By effectively combining vehicle-track dynamics method and random simulation methods, the wheel and rail contact stresses can be efficiently quantified from a statistical view.
VEHICLE SYSTEM DYNAMICS
(2021)
Article
Engineering, Mechanical
Fritz Trimpe, Corinna Salander
Summary: Stability verification of railway wheelsets in Germany can be difficult due to the need for expensive and time-consuming test ride measurements. The relationship between torsional vibration and wheel-rail contact is found to have a significant impact on predicting the maximum dynamic torque stresses.
VEHICLE SYSTEM DYNAMICS
(2021)
Article
Multidisciplinary Sciences
Sakdirat Kaewunruen, Mohd Haniff Osman
Summary: This study proposes a novel strategy to enhance the value of track measurement information by constructing a data generation model. The model effectively generates artificial track measurement data by assigning synthetic data on each measurement point of the affected track segment. A NARX (nonlinear autoregressive with exogenous variables) model is proposed to incorporate short-range memory dependencies and interdependent effects from external factors. The model evaluation demonstrates that the data generation model for disrupted track measurements is reliable, accurate, and easy-to-use. This novel model is an essential breakthrough in railway track integrity prediction and resilient operation management.
SCIENTIFIC REPORTS
(2023)
Article
Engineering, Multidisciplinary
Pan Zhang, Jan Moraal, Zili Li
Summary: An innovative downsized test rig called V-Track has been constructed for wheel-rail contact experiments under impact loading conditions. The force measurement system named dynamometer was developed in V-Track to measure wheel-rail contact forces reliably and accurately. Experimental results show the dynamometer's capability in measuring these forces and achieving control of wheel-rail contact forces in V-Track.
Article
Acoustics
Yongzhi Jiang, Pingbo Wu, Jing Zeng, Long Jiang
Summary: This paper proposes a real-time detection method of wheel-rail conditions in a monorail vehicle-track nonlinear system based on vehicle vibration signals. The method combines parallel simulation with a genetic algorithm to improve calculation efficiency and accuracy. The paper also highlights the application of artificial intelligence techniques in intelligent wheel eccentricity detection.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Engineering, Mechanical
Tobias D. Carrigan, James P. Talbot
Summary: Railways need frequent inspection to maintain acceptable levels of rail roughness. This paper proposes a cost-effective method for near-continuous roughness monitoring using accelerometers mounted on in-service railway vehicles. The method addresses the variation in track support stiffness and wheel-to-wheel vibration coupling, and also considers the effect of wheel roughness on axle-box acceleration. The developments are evaluated through numerical simulation and measurement trials.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
A. C. Pires, G. R. Mendes, G. F. M. Santos, A. P. C. Dias, A. A. Santos
Summary: This study evaluates the feasibility of estimating wheel rail contact forces from sensors in a regular instrumented railway vehicle using machine learning models. By creating a virtual model and conducting exploratory data analysis, the research demonstrates that machine learning models can indirectly predict wheel rail contact forces with high accuracy.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Mechanical
Sajjad Sattari, Mohammad Saadat, Sayed Hasan Mirtalaie, Mehdi Salehi, Ali Soleimani
Summary: This paper investigates the effects of train speed, track irregularities, and wheel flats on wheel-rail dynamic forces. It is found that the dynamic forces increase with the increase in train speed. This research is important for the evaluation of railway running stability and the prevention of derailments.
INTERNATIONAL JOURNAL OF HEAVY VEHICLE SYSTEMS
(2023)
Article
Engineering, Mechanical
Ingo Kaiser, Salvatore Strano, Mario Terzo, Ciro Tordela
Summary: Real-time monitoring of railway vehicles, particularly the secondary anti-yaw suspension system, is important for safety and optimizing maintenance costs. This paper presents a model-based technique for monitoring anti-yaw damping, utilizing a constrained nonlinear estimation procedure and a railway vehicle model with a random walk model for the wheel-rail interaction. The approach offers advantages in robustness, track irregularities knowledge, and constraints on estimated states.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Civil
Gongquan Tao, Mengqi Liu, Qinglin Xie, Zefeng Wen
Summary: The study on the influence of high and low wheel out-of-roundness on the dynamics interaction between metro train wheels and rails found that wheel OOR can significantly increase the dynamic interaction and wheelset vibration, with fasteners' vertical stiffness and damping coefficient having a significant impact on transmission. If the radial run-out for one wheelset exceeds the limit and for the other does not, the two wheelsets on the same bogie should be re-profiled simultaneously.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT
(2022)
Article
Transportation Science & Technology
Xin Zhao, Shuangchao Huang, Peng Zhang, Liang Ling, Jizhong Yang, Zefeng Wen
Summary: A transient wheel-rail rolling contact model and a vehicle-track coupled dynamics model were developed to calculate normal wheel-rail interactions at high frequencies in elasticity. The results of 180 cases showed significant differences in contact forces predicted by the CD model compared to the RC model, indicating the important role of ignored structural and wheel-rail flexibilities in high-frequency interactions. A modified non-linear Hertzian spring was developed to improve the accuracy of the CD model with reference to the RC predictions, providing insights for determination of contact spring and contact filter effect at high frequencies.
INTERNATIONAL JOURNAL OF RAIL TRANSPORTATION
(2022)
Article
Engineering, Mechanical
Jinying Guo, Huailong Shi, Ren Luo, Jing Zeng
Summary: The study examines the stability and bifurcation characteristics under nonlinear wheel/rail contact, finding that an exponent fitting is more appropriate for simulating flange effects. It also discusses the significant impact of linear and nonlinear terms of rolling radius on bifurcation and critical speeds.
NONLINEAR DYNAMICS
(2021)
Article
Engineering, Multidisciplinary
Chunyang Li, Weifeng Liu, Ruihua Liang
Summary: An indirect identification method is proposed in the paper to determine the vertical wheel-rail contact forces, which are key factors in models addressing wheel-rail interaction. The calculated forces are used to predict ground-borne vibrations, with a case study in Beijing Metro validating the effectiveness of the method. Results show efficient and accurate determination of the vertical wheel-rail contact forces and good agreement between predicted and measured ground-borne vibrations.