Hierarchical Multiscale Modeling of Tire-Soil Interaction for Off-Road Mobility Simulation

Abstract

A high-fidelity computational terrain dynamics model plays a crucial role in accurate vehicle mobility performance prediction under various maneuvering scenarios on deformable terrain. Although many computational models have been proposed using either finite element (FE) or discrete element (DE) approaches, phenomenological constitutive assumptions in FE soil models make the modeling of complex granular terrain behavior very difficult and DE soil models are computationally expensive, especially when considering a wide range of terrain. To address the limitations of exiting deformable terrain models, this paper presents a hierarchical FE-DE multiscale tire-soil interaction simulation capability that can be integrated in the monolithic multibody dynamics solver for high-fidelity off-road mobility simulation using high-performance computing techniques. It is demonstrated that computational cost is substantially lowered by the multiscale soil model as compared to the corresponding pure DE model while maintaining the same accuracy. The multiscale tire-soil interaction model is validated against the soil bin mobility test data under various wheel load and tire inflation pressure conditions, thereby demonstrating the potential of the proposed method for resolving challenging vehicle-terrain interaction problems.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 09, 2018
Accession Number
AD1071177

Entities

People

  • Guanchu Chen
  • Hiroki Yamashita
  • Hiroyuki Sugiyama
  • Paramsothy Jayakumar
  • Yeefeng Ruan

Organizations

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

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Copyrights
  • Dynamics
  • Governments
  • Granular Materials
  • High Performance Computing
  • Materials
  • Mechanical Engineering
  • Models
  • Multiscale Modeling
  • Multiscale Models
  • Reliability
  • Simulations
  • Soil Models
  • Terrain Models
  • United States
  • United States Government

Readers

  • Computational Fluid Dynamics (CFD)
  • Logistics and Supply Chain Management.