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原文传递 Predicting Terrain Parameters for Physics-Based Vehicle Mobility Models from Cone Index Data.

题名：	Predicting Terrain Parameters for Physics-Based Vehicle Mobility Models from Cone Index Data.
作者：	HUANG, W.; WONG, J. Y.; PRESTON-THOMAS, J.; JAYAKUMAR, P.
关键词：	Shear stresses, Terrain, Pressure distribution, Coefficients, Surface properties, Algorithms, Measurement, Shear strength, Computational science, Surface transportation, Ground vehicles, B-w(bekker-wong terrain parameters), Bevameter, Ci(cone index), Cone-terrain interaction, Dfoa(derivative-free optimization algorithms), Normal pressure distribution, Shear stress distribution, Physics-based vehicle mobility models, Ng-nrmm(next generation-nato reference mobility model), P-s(pressure-sinkage), Pso(particle swarm optimization)
摘要：	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.
报告类型：	科技报告