Extrapolation for A Monorail Vehicle Frame Load Spectrum Based on Kernel Density Estimation
The accuracy of predicting the fatigue life of vehicle frames is affected by the integrity of the dynamic load spectrum,but the load data measured on the line has short-term and local characteristics.In order to accurately predict the fatigue life,it is necessary to extrapolate the short-term sample data to the full life cycle range.This article takes the bogie frame of monorail vehicles as an analysis case.Firstly,a kernel density estimation method based on adaptive band-width was used to estimate the probability density of the measured load spectrum.Secondly,the load spectrum was ex-trapolated using a Monte Carlo simulation algorithm;Finally,fatigue life analysis of the structure is conducted based on the load spectrum extrapolated from kernel density.The analysis results indicate that compared with traditional linear ex-trapolation data,the load spectrum evaluation results based on kernel density estimation extrapolation are more secure and more conducive to ensuring the safe operation of vehicles.
Monorail vehicleBogie frameKernel density estimationLoad spectrum extrapolationFatigue life
NETL
NSTL
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