Prediction for motion of tracked vehicle traveling on soft soil using kriging metamodel

Abstract

To predict the efficiently dynamic responses of a tracked vehicle traveling on soft soil, a metamodel is employed, because computer simulation of a tracked vehicle is quite time-consuming and the responses are highly nonlinear. A rigid-body dynamic model for a tracked vehicle is introduced. For efficient but accurate approximation, the kriging metamodel with a maximum entropy sampling technique is applied. Through the validation using additional sample points, the accuracy of the kriging model is compared with that of a response surface model. It is found that the kriging model predicts dynamic responses better than the response surface model. Further, the kriging model can approximate an accurately nonlinear response of a tracked vehicle traveling on soft soil.