Abstract 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, kϕ and n, and two cone-terrain shear strength parameters, cc and ϕc. 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.

中文翻译：

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从圆锥指数数据预测基于物理的车辆移动模型的地形参数

摘要 为了为开发基于物理的车辆移动模型（例如下一代北约参考移动模型）提供地形数据，需要利用大量可用的锥指数 (CI) 数据。挑战在于是否可以从 CI 数据预测基于物理的车辆移动模型的地形参数。已经开发了一种改进的锥体-地形相互作用模型，该模型考虑了锥体-地形界面上的法向压力和剪切应力分布。已开发出一种基于无导数优化算法 (DFOA) 的方法，并结合改进的模型利用连续测量的 CI 与下沉数据来预测三个 Bekker 压力下沉参数 kc、kϕ 和 n，以及两个锥体抗剪强度参数，cc 和 ϕc。该方法已在两种类型的土壤中得到验证，LETE 沙土和 Keweenaw 研究中心 (KRC) 土壤，其中连续 CI 与下沉测量和连续板压力与下沉测量可用。基于使用基于 DFOA 的方法的连续 CI 与下沉测量得出的参数的预测压力-下沉关系与测量值之间的相关性总体上令人鼓舞。