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Predicting Terrain Parameters for Physics-Based Vehicle Mobility Models from Cone Index Data

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Technical Report,01 Jan 2019,04 Oct 2019

Corporate Author:

Vehicle Systems Development Corporation Toronto Canada

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To provide terrain data for the development of physics-based vehicle mobility models, such as the Next Generation NATO Reference Mobility Model, there is a desire to make use of the vast amount of cone index CI data available. The challenge is whether the terrain parameters for physics-based vehicle mobility models can be predicted from CI data. An improved model for cone-terrain interaction has been developed that takes into account both normal pressure and shear stress distributions on the cone-terrain interface. A methodology based on Derivative-Free Optimization Algorithms DFOA has been developed in combination with the improved model to make use of continuously measured CI vs. sinkage data for predicting the three Bekker pressure-sinkage parameters, kc, k and n, and two cone-terrain shear strength parameters, cc and c. The methodology has been demonstrated on two types of soil, LETE sand and Keweenaw Research Center KRC soils, where continuous CI vs. sinkage measurements and continuous plate pressure vs. sinkage measurements are available. The correlations between the predicted pressure-sinkage relationships based on the parameters derived from continuous CI vs. sinkage measurements using the DFOA-based methodology and that measured were generally encouraging.

Subject Categories:

  • Surface Effect Vehicles and Amphibious Vehicles
  • Mechanics

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