Simulation Of Non-gaussian Random Vibration Signal For Railway Transportation Environment

In railway transport, transport equipment and packages are damaged by various factorssuch as shock and vibration which caused by road condition and the running state. situation ofthe body and the load conditions. Those environmental factors have great randomness, as wellas the vibration and shock environment. This vibration and shock environment have randomincentive non-Gaussian characteristics. Simulation of the non-Gaussian vibration impact onthe environment is the top priority.This article mainly around "non-Gaussian random environment simulation technology ofvibration" launched a series of research:(1)According to the traditional analog method of Gaussian random process and themethod of simulation of non-Gaussian random process. According to the relation formula ofthe phase modulation method is adopted to change skewness and kurtosis,. After repeated fastFourier transform (FFT) and inverse transformation (IFFT) process, the target signal powerspectral density and kurtosis controllable non-Gaussian random signal finally can be preciselyobtained. By lots of simulation, the reliability of simulation algorithm and adaptive have beenproved.(2)Seeing the goods packaging as a single degree of freedom system, analyzing of theresearch system response characteristics under non-Gaussian random excitation and systeminput features (average, RMS, skewness and kurtosis), intrinsic properties system (dampingratio and natural frequency of the system),such factors impact on the response of the system.Seeing the simulated railway non-Gaussian signal as the input into the system, puttingforward the system response through the calculation to the system transfer function, and thenverify the response characteristics. It provides the basis for components in non-Gaussianrandom response under the stress of fatigue damage analysis.(3) According to the fatigue theory, the non-Gaussian random stress under thecomponent analysis of fatigue damage theory is analyzed. It is concluded that the stress ofbandwidth and non-Gaussian have influences to the speed of fatigue damage. Besides, superGaussian random stress response on component fatigue damage cumulative speed is greaterthan the non-Gaussian and sub-Gaussian random stress. And the random stress fatiguedamage prediction method based on the Monte Carlo method is put forward.Above all, this paper includes the following content, analysis of rail vibrationenvironment, non-Gaussian random response stress fatigue, the simulation of non-Gaussianrandom process and non-Gaussian random excitation, analysis of the system response. Itprovides theoretical basis for the future fatigue reliability test of railway goods packaging, as well as for packaging design. Some guidance for the non-Gaussian vibration environmentsimulation technology is provided.