Prediction of Vehicle Mobility on Large-Scale Soft-Soil Terrain Maps Using Physics-Based Simulation

Abstract

The objective of this paper is to present a high-fidelity physics-based approach to accurately and reliably predict the vehicle response measures, which will allow for independent testing and validation of the model components such as soil type, tire/track, powertrain system, vehicle suspension system, and traction control system rather than having to experimentally measure the response for each vehicle configuration and soil type. The modeling approach is based on (i) a seamless integration of multibody dynamics and discrete element method (DEM) solvers, and (ii) using a Design-of-Experiments (DOE) to predict the off-road soft soil mobility of ground vehicles on large-scale terrain maps.

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Document Details

Document Type
Technical Report
Publication Date
Aug 04, 2016
Accession Number
AD1011318

Entities

People

  • Dave Mechergui
  • Paramsothy Jayakumar
  • Srinivas Sanikommu
  • Tamer Wasfy

Organizations

  • United States Army Tank Automotive Research, Development and Engineering Center

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Adhesion
  • Control Systems
  • Equations Of Motion
  • Experimental Design
  • Friction
  • Ground Vehicles
  • Internal Friction
  • Materials
  • Mobility
  • Models
  • Particle Size
  • Particles
  • Simulations
  • Soils
  • Steady State
  • Terrain
  • Vehicles

Readers

  • Computational Fluid Dynamics (CFD)
  • Geotechnical Engineering.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.