with the coordinate simplification method, and the vibration characteristics of tracked vehicles were analyzed. The kinematics equation of tracked vehicles was established by Marcello C. A two-dimensional model of tracked vehicles was established by Dhir and Shankhala. The shock and vibration analysis module was taken as an example, which is the core content of dynamic prediction in the US military mobility model AMM-75, and was later improved and used in the NATO standard mobility model. It is the basic work and primary method for vehicle mobility evaluation. Vehicle dynamics modeling, as an important technical means to analyze the vibration response of vehicles, can also be used to simulate the process of vehicle crossing obstacles. For example, the index “obstacle-crossing rated vehicle speed” was proposed by the US Army on the basis of a large number of tests, and the performance of tactical wheeled vehicles to quickly pass obstacles was assessed according to the size of vertical acceleration.
When a vehicle encounters an obstacle, the rigid contact between the front end of the vehicle body and the edge of the obstacle will produce a large short-term shock vibration, and the shock strength is usually evaluated by the maximum acceleration peak rather than the root mean square (RMS) value. Since the tracked vehicle is subjected to continuous vibration for a long time when driving on uneven pavement, the power spectrum method is usually used to analyze the influence of vibration on occupants and vehicle body, and the vibration response can be evaluated from the aspects of vehicle ride comfort, suspension system reliability, and occupant handling stability. Under the condition of satisfying dynamic performance and passability, the tolerance limit of occupant and vehicle body to vehicle vibration response is the principal factor that determines the speed of tracked vehicle on uneven pavement and obstacle pavement.
#VIBRATION TRACK HIGH SPEED SNOWMOBILE DRIVER#
In this case, the only response that the driver can take is to reduce the speed, demonstrating that vibration shock limits the increase in off-road driving speed. In the wake of the increase of vehicle speed, the frequency and intensity of vibration on the human body will inevitably increase. The mobility of vehicles is seriously affected by the strong turbulence caused by the uneven pavement and the vibration shock caused by the surface obstacles. Especially, the driving environment of military high-speed tracked vehicles is relatively harsh. The off-road mobility of high-speed tracked vehicles is a comprehensive manifestation of vehicle dynamics, flexibility, passability, and comfort.
The results of this paper are of reference significance for the prediction and evaluation of the off-road mobility of high-speed tracked vehicles. The pros and cons of each approximate model were analyzed by comparing the approximate errors between the predicted values of the fitting model and the actual response values of the simulation model. Three fitting methods, namely polynomial response surface, Kriging method, and radial basis function neural network, were used to establish approximate models between the design variables and the objective function, respectively. Simultaneously, the shock vibration peak value was utilized to evaluate the vibration response of the vehicle during obstacle crossing. The vibration response of the vehicle on uneven pavement was evaluated from four aspects: driver comfort, driver absorbed power, occupant handling efficiency, and suspension dynamic travel. In this paper, based on the principle of multibody dynamics, a high-speed tracked vehicle action system model was established by using the simulation analysis method.
In the stage of vehicle demonstration and development, equipment finalization test, and equipment service, an important role is played by the mobility prediction and evaluation method of tracked vehicles under complex road conditions, in which vehicle vibration response evaluation is the main content of off-road mobility prediction and evaluation.
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