Research on Model of Noise Prediction of High-Speed Train by SEA Method

2012 ◽  
Author(s):  
Lifang Yang ◽  
Xiaowei He ◽  
Fanyu Meng
Keyword(s):  
High Speed ◽  
Rapid Development ◽  
Noise Analysis ◽  
Input Power ◽  
Aerodynamic Noise ◽  
Noise Prediction ◽  
High Speed Train ◽  
Small Noise ◽  
High Speed Trains ◽  
Calculation Results

China’s rapid development of high-speed train has been in the research spotlight over the years; this paper presents a method to predict the transmission of aerodynamic noise and rail noise inside train compartments for high-speed trains operating at speeds larger than 200 km/h. The numerical tool could be used in parameter studies for noise control. In order to develop the noise prediction model of high speed train, the noise source of high-speed train is analyzed. Based on the noise analysis, the SEA model is built. Due to the small noise difference in one train car, the SEA model is divided into head cab, head passenger cab and middle car three parts. Combined with the finite and boundary element method, the input power and SEA parameters are researched and calculated. In the end of the paper, the results of SEA noise predicting model are compared with theoretical calculation results in order to verify the engineering use.

scholarly journals Aerodynamic Noise Separation of an EMU Trailer Bogie Area Using Train Operation Tests

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Leiming Song ◽  
Hao Chen ◽  
Baochuan Li
Keyword(s):  
Transfer Coefficient ◽  
High Speed ◽  
Noise Analysis ◽  
Central Area ◽  
Aerodynamic Noise ◽  
Frequency Noise ◽  
High Speed Train ◽  
Radiated Noise ◽  
High Speed Trains ◽  
Train Operation

The operation transfer path analysis (OTPA) technique was used to measure the vibration and noise transfer coefficient functions of wheel-rail noise and radiated noise from an electric multiple unit (EMU) train (high-speed train in China) trailer bogie structure to the central area of the trailer bogie for a train running at speeds of 0–5 km/h. By applying these transfer coefficient functions to the noise analysis of high-speed train operation, the contributions of wheel-rail noise and frame-radiated noise to the noise of the bogie area at high speeds are obtained, and the aerodynamic noise is separated from the total noise, providing a reference for vibration damping and noise reduction in high-speed trains. Analysis of test data shows that, in the central area of the trailer bogie of high-speed trains, the low-frequency noise mainly comes from the structural radiated noise of the bogie, and the mid- to high-frequency noise is primarily due to aerodynamic noise. In addition, when an EMU train operates at speeds below 250 km/h, the noise in the central area of the trailer bogie is primarily caused by the structural radiated noise. When the operating speed is higher than 250 km/h, the noise in the central area of the trailer bogie is mainly due to aerodynamic noise, and the aerodynamic noise contribution increases with increase in speed.

The Vibration Response Analysis about High-Speed Train’s Braking Wing

2012 ◽  
Vol 226-228 ◽  
pp. 102-105
Author(s):  
Wen Qing Zhu ◽  
Yang Yong Zhu
Keyword(s):  
Finite Element ◽  
High Speed ◽  
Rapid Development ◽  
Response Analysis ◽  
High Speed Train ◽  
High Speed Railway ◽  
Emergency Braking ◽  
Finite Element Software ◽  
High Speed Trains ◽  
Aerodynamic Brake

With the rapid development of high-speed railway in China, the aerodynamic brake is very likely to be an important emergency braking mode of high-speed train in the future. This paper takes aerodynamic braking wing as the object, and uses the finite element software to divide the meshes, then analyses the model influenced by static stress. After simulating the vibratory frequency response of the model in the flow field, it finds that the largest deformation happens in the middle of the upper edge of the wind wing, when the wind speed gets to 500km/h and the load frequency to 4Hz. Some conclusions of this thesis can provide reference for researching the applying the aerodynamic brake in the high-speed trains and laying the foundation for solving the riding and braking safety problems.

scholarly journals A Systematic Approach to Identify Sources of Abnormal Interior Noise for a High-Speed Train

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Jie Zhang ◽  
Xinbiao Xiao ◽  
Xiaozhen Sheng ◽  
Zhihui Li ◽  
Xuesong Jin
Keyword(s):  
High Speed ◽  
Sound Pressure ◽  
Systematic Approach ◽  
Noise Analysis ◽  
Interior Noise ◽  
Sound Insulation ◽  
High Speed Train ◽  
Main Contributor ◽  
Vibration Data ◽  
High Speed Trains

A systematic approach to identify sources of abnormal interior noise occurring in a high-speed train is presented and applied in this paper to resolve a particular noise issue. This approach is developed based on a number of previous dealings with similar noise problems. The particular noise issue occurs in a Chinese high-speed train. It is measured that there is a difference of 7 dB(A) in overall Sound Pressure Level (SPL) between two nominally identical VIP cabins at 250 km/h. The systematic approach is applied to identify the root cause of the 7 dB(A) difference. Well planned measurements are performed in both the VIP cabins. Sound pressure contributions, either in terms of frequency band or in terms of facing area, are analyzed. Order analysis is also carried out. Based on these analyses, it is found that the problematic frequency is the sleeper passing frequency of the train, and an area on the roof contributes the most. In order to determine what causes that area to be the main contributor without disassembling the structure of the roof, measured noise and vibration data for different train speeds are further analyzed. It is then reasoned that roof is the main contributor caused by sound pressure behind the panel. Up to this point, panels of the roof are removed, revealing that a hole of 300 cm2 for running cables is presented behind the red area without proper sound insulation. This study can provide a basis for abnormal interior noise analysis and control of high-speed trains.

Research of Aerodynamic Noise Prediction of High-Speed Train

2012 ◽  
Vol 562-564 ◽  
pp. 1133-1136
Author(s):  
Li Fang Yang ◽  
Xiao Wei He ◽  
Fan Yu Meng
Keyword(s):  
High Speed ◽  
Energy Analysis ◽  
Rapid Development ◽  
Prediction Method ◽  
Aerodynamic Noise ◽  
Statistical Energy Analysis ◽  
High Speed Train ◽  
Key Factor ◽  
Fluctuation Pressure ◽  
Element Theory

Under the background of China rapid development of high-speed train, this paper aims at prediction of the aerodynamic noise of train, which plays a key factor for controlling the train noise. In order to develop the prediction model of the aerodynamic noise of train, first the finite and boundary element theory are utilized to calculate the fluctuation pressure of the motion train; then Statistical Energy Analysis (SEA) model of the train noise is built and the SEA parameters are calculated. Based on the above models, the prediction method of aerodynamic noise of train is developed to calculate the train noise with train velocity.

Numerical Simulation of Aerodynamic Behaviors of High-Speed Trains Crossing

2012 ◽  
Vol 562-564 ◽  
pp. 1390-1393
Author(s):  
Yong Chang Zhang ◽  
Yu Gong Xu ◽  
Fang Qin ◽  
Rui Cao
Keyword(s):  
Numerical Simulation ◽  
Pressure Wave ◽  
High Speed ◽  
Value Change ◽  
High Speed Train ◽  
Operating Condition ◽  
Uniform Velocity ◽  
High Speed Trains ◽  
Calculation Results ◽  
Peak Value

A model of CRH2 high-speed train has been established and the aerodynamics process of moving high-speed trains has been numerically simulated by using moving gird technology of CFdesign, Two kinds of operating condition, both trains have uniform and un-uniform velocity, were considered to analyze the aerodynamics pressure on the surfaces of the train. Finally, according to the calculation results, regularity of how the position where the highest pressure wave was located and its peak value change with the velocity increasing is concluded.

Study Platform for AC Transmission System of High-Speed Train

2012 ◽  
Vol 260-261 ◽  
pp. 505-510
Author(s):  
Xiao Chun Fang ◽  
Zhong Ping Yang ◽  
Fei Lin ◽  
Jin Fei Qin
Keyword(s):  
Energy Saving ◽  
Temperature Rise ◽  
High Speed ◽  
Rapid Development ◽  
Transmission System ◽  
High Speed Train ◽  
High Speed Railway ◽  
High Speed Trains ◽  
System Temperature ◽  
Ac Transmission

Demand for CRH (China Railways High-Speed) trains, both in quantity and types, is increasing because of the rapid development of high-speed railway in China. To support the improvement and development the AC transmission system of these trains, a study platform is proposed in this paper. Target of the platform is supporting the study which contains design, verification, display etc. in detail. Platform framework is described in this paper. And the results of study on transmission system temperature rise and energy-saving operation strategy of high-speed train based on the platform are displayed. Availability of the study platform is verified.

scholarly journals Application of the Bionic Concept in Reducing the Complexity Noise and Drag of the Mega High-Speed Train Based on Computer Simulation Technologies

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-14
Author(s):  
He-xuan Hu ◽  
Bo Tang ◽  
Ye Zhang
Keyword(s):  
Noise Level ◽  
High Speed ◽  
Aerodynamic Noise ◽  
Leeward Side ◽  
Turbulence Energy ◽  
Aerodynamic Design ◽  
High Speed Train ◽  
High Speed Trains ◽  
Average Noise Level ◽  
Head Type

Regarding the continuous development of high-speed trains and the increase of running speeds, the aerodynamic design of high-speed trains has become significantly important, while reduction of drag and noise comprises a significant challenge in order to optimize aerodynamic design of high-speed trains. The design form factor of a high-speed train is highly influenced by aerodynamic aspects including aerodynamic drag, lift force, and noise. With the high-speed train as the object, the paper aims to take bionic concept as the entry point, selecting the hummingbird as the bionic prototype and extracting bionic elements to establish a bionic train model. Then, the finite volume method was used for numerical simulation and analysis of the aerodynamic performance and aerodynamic noise of the bionic high-speed train. Computational results prove that drag and noise of the bionic head type were lower than those of the original train; drag of the head train of the bionic model was reduced by 2.21% in comparison with the original model, while the whole-train drag was reduced by 3.53%, indicating that drag reduction effects are available and implying that the bionic head type could reduce drag and noise. Noise sources of the bionic train are mainly located at positions with easy airflow separation and violent turbulence motion. Large turbulence energy is in bogie areas and mainly exists at the leeward side of the bogie area. Obviously, the bogie area is the major noise source of the train. Aerodynamic noise of the bionic train in far-field comprises a wide-frequency range. Noises were concentrated within 613 Hz~3150 Hz. When the bionic high-speed train ran at 350 km/h, through comparative analysis of total noise levels at observed points of the high-speed train, it is found that this position with the maximum noise level was 25 m away from the head train nose tip, with the maximum value of 88.4 dB (A). When the bionic train ran at 600 km/h, the maximum sound pressure level at the longitudinal point was 99.7 dB (A) and the average noise level was 96.6 dB (A). When the running speed increased from 350 km/h to 600 km/h, the maximum noise level increased by 11.3 dB (A) and the average noise level increased by 11.6 dB (A). Computation results of aerodynamic noise at the point which is 7.5 m away from the rail center show that the maximum aerodynamic noise level existed at the first-end bogie of the head train, while the noise level was larger at the position closer to the ground.

Comparative study on the use of acoustic emission and vibration analyses for the bearing fault diagnosis of high-speed trains

2021 ◽  
pp. 147592172110360
Author(s):  
Dongming Hou ◽  
Hongyuan Qi ◽  
Honglin Luo ◽  
Cuiping Wang ◽  
Jiangtian Yang
Keyword(s):  
Acoustic Emission ◽  
Fault Diagnosis ◽  
High Speed ◽  
High Speed Train ◽  
Signal Attenuation ◽  
Transmission Path ◽  
Bearing Fault Diagnosis ◽  
Operation Conditions ◽  
Fault Features ◽  
High Speed Trains

A wheel set bearing is an important supporting component of a high-speed train. Its quality and performance directly determine the overall safety of the train. Therefore, monitoring a wheel set bearing’s conditions for an early fault diagnosis is vital to ensure the safe operation of high-speed trains. However, the collected signals are often contaminated by environmental noise, transmission path, and signal attenuation because of the complexity of high-speed train systems and poor operation conditions, making it difficult to extract the early fault features of the wheel set bearing accurately. Vibration monitoring is most widely used for bearing fault diagnosis, with the acoustic emission (AE) technology emerging as a powerful tool. This article reports a comparison between vibration and AE technology in terms of their applicability for diagnosing naturally degraded wheel set bearings. In addition, a novel fault diagnosis method based on the optimized maximum second-order cyclostationarity blind deconvolution (CYCBD) and chirp Z-transform (CZT) is proposed to diagnose early composite fault defects in a wheel set bearing. The optimization CYCBD is adopted to enhance the fault-induced impact response and eliminate the interference of environmental noise, transmission path, and signal attenuation. CZT is used to improve the frequency resolution and match the fault features accurately under a limited data length condition. Moreover, the efficiency of the proposed method is verified by the simulated bearing signal and the real datasets. The results show that the proposed method is effective in the detection of wheel set bearing faults compared with the minimum entropy deconvolution (MED) and maximum correlated kurtosis deconvolution (MCKD) methods. This research is also the first to compare the effectiveness of applying AE and vibration technologies to diagnose a naturally degraded high-speed train bearing, particularly close to actual line operation conditions.

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