C. Leser et al., MODELING OF RANDOM VEHICLE LOADING HISTORIES FOR FATIGUE ANALYSIS, International journal of vehicle design, 15(3-5), 1994, pp. 467-483
The concise description of one dimensional vehicle loading histories f
or fatigue analysis using stochastic proces theory is presented in thi
s study. The load history is considered to have stationary random and
nonstationary mean content. The stationary variations are modelled by
an Autoregressive Moving Average (ARMA) model, while a Fourier series
is used to model the variation of the mean. Due to the use of random p
hase angles in Fourier series an ensemble of mean variations is obtain
ed. The methods of nonparametric statistics are used to determine the
success of the modelling of nonstationary. Justification of the method
is obtained through comparison of rainflow cycle distributions and re
sulting fatigue lives of original and simulated loadings. Due to the r
elatively small number of Fourier coefficients needed together with th
e use of ARMA models, a concise description of complex loadings is ach
ieved. The overall frequency content and sequential information of the
load history is statistically preserved. An ensemble of load historie
s can be constructed on-line with minimal computer storage capacity as
used in testing equipment.