It is critical in the implementation of structural health monitoring for rolling stock to acquire load characteristics of vital interfaces such as air suspensions,auxiliary components,axle box springs,and rubber joints during the service life.This paper explored an estimation method for loads on bogie frames.Based on an initially established vehicle system dynamics model,lateral and vertical dy-namics models were derived,incorporating localized refinements specific to rocker type axle boxes.Based on these models,Kalman fil-tering was applied for inversion estimation of system state quantities through the system state equation.The study results,which consid-ered excitations from track irregularities,show a correlation surpassing 0.8 between the estimated and simulated values for vertical loads on the bogie frame,while a correlation exceeding 0.6 for lateral loads.These findings indicate consistent change trends in the time-fre-quency domain between the estimated and simulated values.Moreover,as the vehicle speed increases,the accuracy of the inversion re-sults based on Kalman filtering progressively improve in correlation with the simulated values.Based on the above outcomes,conclu-sions can be drawn that the proposed load estimation method is sufficiently accurate and stable in the inversion calculations for loads on the critical interfaces of bogie frames.This method can serve as a data foundation for subsequent damage monitoring and evaluation,re-maining life calculations,and optimizing the structural design for key bogie components.
关键词
铁道车辆/构架/振动加速度/卡尔曼滤波/载荷反演
Key words
rolling stock/bogie frame/vibration acceleration/Kalman filtering/load inversion
维普
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