Characteristics Of Acoustic Flow Field In Trackside System Of High Speed Train And Analysis Method

With the rapid development of my country’s high-speed railways and the increasing speed of trains,bogies,as the most important part of trains,will be under enormous pressure.Rolling bearing is an extremely fault-prone component in the bogie,and its condition affects the safety of the train to a great extent.Therefore,strengthening the condition monitoring of high-speed train bearings is of great significance to the safe operation of the train.The trackside acoustic detection system TADS can detect early train rolling bearing failures in time,providing a strong guarantee for the safety of trains.The change of the flow field caused by the train operation will have an impact on the sound field distribution around the trackside system.At present,the air flow has not been considered in the research on the trackside acoustic detection system.Therefore,this paper starts from the theory of acoustic flow field coupling and applies finite element analysis software to analyze the characteristics of highspeed train trackside acoustic flow field.This paper takes the Fuxing EMU as the research object.First,the high-speed train is modeled and simplified in 3D,meshed,and the acoustic finite element model of the high-speed train is established by the method of acoustic finite element(FEM-AML).Secondly,the LMS Virtual.Lab software is used to compare and analyze the sound field distribution cloud map of the train trackside under the influence of the flow field,and it is shown from the data that the flow field interferes with the sound field.Thirdly,the sound source parameters near the bogie of the high-speed train under different wind speeds,including the sound source location and sound source intensity,are analyzed to influence the sound wave propagation on the trackside of the train.Finally,based on the sound field distribution cloud map information of the highspeed train trackside,the location of the acoustic sensor is researched,and the location of the acoustic sensor is optimized by observing the sound pressure frequency response curve,so that the sound source information can be better identified.After the above research,a method for analyzing the coupling characteristics of the trackside acoustic flow field is formed,which can provide a certain guidance and reference for the optimization of the measurement point of the trackside system.