Cosimulation of vehicle dynamics and terrain interaction to predict one-pass vehicle cone index
by Christopher T. Goodin; George B. McKinley; Christopher L. Cummins; Jody D. Priddy
International Journal of Vehicle Performance (IJVP), Vol. 5, No. 1, 2019

Abstract: The one-pass vehicle cone index (VCI₁) is a measurement of the softest soil over which a vehicle can consistently drive at least once. In the last few decades, VCI₁ has become a common quantitative indicator for the soft-soil performance of wheeled and tracked ground vehicles. Because VCI₁ depends on not only the strength (as measured by Cone Index) of the soil but also the type of the soil, it is difficult to numerically predict VCI₁ for notional ground vehicles. While reliable empirical methods to predict VCI₁ have been refined over the years, the emergence of new vehicle technologies such as traction control systems presents a new challenge for ground vehicle modelling and necessitates a new way for predicting VCI₁ performance. In this paper, we present accurate numerical predictions of VCI₁ that use the Chrono multi-body dynamics code for vehicle dynamics, cosimulated with empirical, dynamic traction predictions at the vehicle-terrain interface by using the Ground Contact Element (GCE) code. We show that this cosimulated approach accurately reproduces measured values for a variety of wheeled vehicles.

Online publication date: Wed, 19-Dec-2018

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