Open AccessNumerical study of the vertical vibration of a vehicle model with variable speed
Author(s) -
Milan Sága,
Milan Vaško,
Zuzana Ságová,
Lenka Jakubovičová,
Marián Handrik
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1199/1/012087
Subject(s) - vibration , random variable , computer science , gaussian , monte carlo method , variable (mathematics) , gaussian process , track (disk drive) , vehicle dynamics , process (computing) , function (biology) , random vibration , stochastic process , statistical physics , mathematics , control theory (sociology) , engineering , mathematical analysis , physics , automotive engineering , acoustics , artificial intelligence , statistics , control (management) , quantum mechanics , evolutionary biology , biology , operating system
The paper deals with the numerical analysis of the general model of vehicle oscillations considering the non-stationarity of random excitation. The model parameters of the applied railway vehicle are deterministic functions. The non-stationary random function will be modelled by the variable speed of the vehicle and the vertical unevenness of the track. The so-called evolutionary Gaussian random process will be considering. The proposed comparative study of the dynamics of the vertical motion of the analysed railway vehicle will be realized using Monte Carlo simulation and a numerical procedure based on the theory of Markov processes. The originality of the article can be found in the implementation and algorithmization of the principles of solving non-stationary oscillation problems of machines. A universal methodology applicable in the dynamics of machines of various purposes is presented.