Automatic Prediction Model of Ground Vibration for High-Speed Trains

2015 ◽  
Vol 764-765 ◽  
pp. 644-648
Author(s):  
Yit Jin Chen ◽  
Chi Jim Chen
Keyword(s):  
Prediction Model ◽  
High Speed ◽  
Influence Factors ◽  
Ground Vibration ◽  
Support Vector ◽  
Vibration Level ◽  
Vibration Data ◽  
High Speed Trains ◽  
Train Speed ◽  
Ground Condition

This paper presents an automatic prediction model for ground vibration induced by Taiwan high-speed trains on embankment structures. The prediction model is developed using different field-measured ground vibration data. The main characteristics that affect the overall vibration level are established based on the database of measurement results. The influence factors include train speed, ground condition, measurement distance, and supported structure. Support vector machine (SVM) algorithm, a widely used prediction model, is adopted to predict the vibration level induced by high-speed trains on embankments. The measured and predicted vibration levels are compared to verify the reliability of the prediction model. Analysis results show that the developed SVM model can reasonably predict vibration level with an accuracy rate of 72% to 84% for four types of vibration level, including overall, low, middle, and high frequency ranges. The methodology in developing the automatic prediction system for ground vibration level is also presented in this paper.

Ground Vibration Characteristics for High-Speed Trains on Embankments

2013 ◽  
Vol 479-480 ◽  
pp. 239-243
Author(s):  
Yit Jin Chen ◽  
Song Wei Lin ◽  
Yi Jiun Shen
Keyword(s):  
Frequency Dependence ◽  
Shear Wave ◽  
Wave Velocity ◽  
Shear Wave Velocity ◽  
High Speed ◽  
Near Field ◽  
Ground Vibration ◽  
Frequency Range ◽  
High Speed Trains ◽  
Train Speed

This study explores the characteristics of ground vibration induced by Taiwan high-speed trains on embankments. A series of field measurement data is used for evaluating near-field vibration, far-field vibration, and vibration influence distance. Various influence factors, including train speed, ground shear wave velocity, frequency dependence, and volume of the structure, are applied for evaluation. Based on the analyses, the near-field ground vibration mainly depends on the train speed, ground shear wave velocity, and frequency dependence. The far-field vibration propagation is affected by ground shear wave velocity and frequency dependence. In general, the high frequency range has the highest attenuation coefficient and the low frequency range has the lowest. The influence distance in hard ground is the farthest, whereas the soft ground is the shortest. Finally, a specific ground vibration assessment is established using these characteristics.

Nonlinear Vibration and Comfort Analysis of High-Speed Trains Moving Over Railway Bridges

Volume 2 ◽  
2004 ◽  
Author(s):  
M. H. Kargarnovin ◽  
D. Younesian ◽  
D. J. Thompson ◽  
C. J. C. Jones
Keyword(s):  
High Speed ◽  
Ride Comfort ◽  
Beam Theory ◽  
Maximum Acceleration ◽  
Railway Bridges ◽  
Comfort Index ◽  
Power Spectral ◽  
High Speed Trains ◽  
Train Speed ◽  
Track Bridge

The ride comfort of high-speed trains passing over railway bridges is studied in this paper. The effects of some nonlinear parameters in a carriage-track-bridge system are investigated such as the load-stiffening characteristics of the rail-pad and the ballast, rubber elements in the primary and secondary suspensions systems. The influence of the track irregularity and train speed on two comfort indicators, namely Sperling’s comfort index and the maximum acceleration level, are also studied. Timoshenko beam theory is used for modelling the rail and bridge and two layers of parallel damped springs in conjunction with a layer of mass are used to model the rail-pads, sleepers and ballast. A randomly irregular vertical track profile is modelled, characterised by a power spectral density (PSD). The ‘roughness’ is generated for three classes of tracks. Nonlinear Hertz theory is used for modelling the wheel-rail contact.

Analysis Model of Ground Vibration Propagation for High-Speed Trains

2011 ◽  
Author(s):  
Yit-Jin Chen ◽  
Shiu-Shin Lin ◽  
Yi-Jiun Shen ◽  
Song-Wei Lin ◽  
Jia-Rong Lu
Keyword(s):  
High Speed ◽  
Ground Vibration ◽  
Analysis Model ◽  
High Speed Trains

Centrifuge Simulation of Wave Propagation due to Vertical Vibration on Shallow Foundations and Vibration Attenuation Countermeasures

2005 ◽  
Vol 11 (6) ◽  
pp. 781-800 ◽  
Author(s):  
K. Itoh ◽  
X. Zeng ◽  
M. Koda ◽  
O. Murata ◽  
O. Kusakabe
Keyword(s):  
Wave Propagation ◽  
High Speed ◽  
Ground Vibration ◽  
Vertical Vibration ◽  
Shallow Foundations ◽  
Testing System ◽  
High Speed Trains ◽  
Railway System ◽  
Environmental Consideration ◽  
The Impact

When constructing a high-speed railway system in an urban area, the reduction of the ground vibration and noise generated by train passages is a vitally important environmental consideration. In this paper we focus on the development of a centrifuge vibration testing system, which can simulate dynamic loading acting on shallow foundations. The system is used to generate vertical vibration similar to that generated by high-speed trains. The characteristics of wave propagation in a shallow circular foundation on sand are investigated. The effects of two types of barriers on vibration reduction are studied. Additionally, the impact of using vibration attenuating materials to build trackbeds is evaluated.

Evaluation of ground vibration induced by high-speed trains on embankments

2010 ◽  
Vol 58 (1) ◽  
pp. 43 ◽  
Author(s):  
Yit-Jin Chen ◽  
Shih-Ming Chang ◽  
Cho-Kao Han
Keyword(s):  
High Speed ◽  
Ground Vibration ◽  
High Speed Trains

A multi-sensor fusion framework for detecting small amplitude hunting of high-speed trains

2018 ◽  
Vol 24 (17) ◽  
pp. 3797-3808 ◽  
Author(s):  
Jing Ning ◽  
Qi Liu ◽  
Huajiang Ouyang ◽  
Chunjun Chen ◽  
Bing Zhang
Keyword(s):  
Monitoring System ◽  
Sensor Fusion ◽  
Small Amplitude ◽  
High Speed ◽  
Railway Track ◽  
Support Vector ◽  
Monitoring Systems ◽  
Operation Condition ◽  
High Speed Trains ◽  
Fusion Framework

Hunting monitoring is very important for high-speed trains to achieve safe operation. But all the monitoring systems are designed to detect hunting only after hunting has developed sufficiently. Under these circumstances, some damage may be caused to the railway track and train wheels. The work reported in this paper aims to solve the detection problem of small amplitude hunting before the lateral instability of high-speed trains occurs. But the information from a single sensor can only reflect the local operation state of a train. So, to improve the accuracy and robustness of the monitoring system, a multi-sensor fusion framework for detecting small amplitude hunting of high-speed trains based on an improved Dempster–Shafer (DS) theory is proposed. The framework consists of a series of steps. Firstly, the method of combining empirical mode decomposition and sample entropy is used to extract features of each operation condition. Secondly, the posterior probability support vector machine is used to get the basic probability assignment. Finally, the DS theory improved by the authors is proposed to get a more accurate detection result. This framework developed by the authors is used on high-speed trains with success and experimental findings are provided. This multi-sensor fusion framework can also be used in other condition monitoring systems on high-speed trains, such as the gearbox monitoring system, from which nonstationary signals are acquired too.

Influence of motor harmonic torque on wheel wear in high-speed trains

2019 ◽  
Vol 234 (1) ◽  
pp. 32-42
Author(s):  
Yayun Qi ◽  
Huanyun Dai
Keyword(s):  
High Speed ◽  
Dynamic Performance ◽  
Harmonic Component ◽  
Wear Depth ◽  
Vertical Force ◽  
Wheel Wear ◽  
High Speed Trains ◽  
Train Speed ◽  
Lateral Creep ◽  
Creep Force

With the increase of train speed, the harmonic torque of the traction motor of a high-speed train is not a negligible source of excitation. In order to explore the influence of the harmonic torque of the motor on wheel wear, a high-speed EMU vehicle model was established based on the multibody dynamics theory. FASTSIM was used to calculate the wear parameters, and the Zobory wear model was used to calculate the depth of the wheel wear. The influence of the harmonic torque of the motor on the wear parameters and wear depth of high-speed trains under straight and curve conditions is calculated, respectively. The simulation results show that the harmonic torque has a large influence on the wheel rail vertical force and the longitudinal creep force and has little influence on the lateral creep force. With the 30% harmonic torque, the wheel rail vertical force increases by 7.6%, the longitudinal creep force increases by 15%, and the lateral creep force increases by 4%. The amplitude of the longitudinal creepage increases by 14.2% when the harmonic torque is 10%, and increases by 34.4% when the harmonic torque is 30%. When the harmonic torque increases, the wheel wear depth increases, the 10% harmonic torque increases by 3% and the 30% harmonic torque increases by 8%, and the increase of the motor harmonic component accelerates the wheel wear. At the same time, small longitudinal positioning stiffness can help to reduce the influence of the harmonic torque, and the selection of the longitudinal positioning stiffness needs to consider the dynamic performance of the vehicle.

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