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《Acta Armamentarii》 1988-01
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TIME SERIES STATISTICAL SIMULATION FOR TRACKED VEHICLE DYNAMIC SYSTEMS

Ju Naijun  
This paper discusses a mathematical model and associated computer program for the time series statistical simulation of tracked vehicle dyna- mic systems. The excitations of vehicle random dynamic systems——the samples of road surface roughness time series are statistically simulated by use of the RAMA(p, q) models. The state equations of vehicle systems are solved using the Rugge-Kutta method. The samples of vibration response time series are obtained and processed by the probabilistic method to give the statistical characteristics, such as root-mean-square, autocorrelation function, power spectral density function, probability density function, etc. The results of such simulation tests on a computer have practical value for vehicle engineering development and have actually been applied in performance calculation programs of. tracked vehicle systems engineering. The simulation sample data obtained can also be used in the optimum design of vehicles and in simulation tests of other dynamic systems resting on it.
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