Hybrid Soft Soil Tire Model (HSSTM). Part 1: Tire Material and Structure Modeling

Abstract

In order to model the dynamic behavior of the tire on soft soil, a lumped mass discretized tire model using Kelvin-Voigt elements is developed. To optimize the computational time of the code, different techniques were used in memory allocation, parameter initialization, code sequence, and multi-processing. This has resulted in significant improvements in efficiency of the code that can now run close to real time and therefore it is suitable for use by commercially available vehicle simulation packages. Model parameters are obtained using a validated finite element tire model, modal analysis, and other experimental test procedures. Experimental tests were performed on the Terramechanics rig at Virginia Tech. The tests were performed on different terrains (such as sandy loam) and tire force and moments, soil sinkage, and tire deformation data were collected for various case studies based on a design of experiment matrix. This data, in addition to modal analysis data were used to validate the tire model. Furthermore, to study the validity of the tire model, simulations at conditions similar to the test conditions were performed on a quarter car model. The results have indicated the superiority of this model as compared to other lumped parameter models currently available.

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Document Details

Document Type
Technical Report
Publication Date
Apr 28, 2015
Accession Number
ADA616952

Entities

People

  • Corina Sandu
  • D. Gorsich
  • S. Taheri
  • Sh. Taheri

Organizations

  • Virginia Tech

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Applied Mathematics
  • Case Studies
  • Computational Science
  • Coordinate Systems
  • Detectors
  • Differential Equations
  • Elastic Materials
  • Equations
  • Equations Of Motion
  • Hyperelastic Materials
  • Materials
  • Measurement
  • Mechanical Properties
  • Mechanics
  • Modal Analysis
  • Resonant Frequency
  • Stresses

Readers

  • Computational Fluid Dynamics (CFD)
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Logistics and Supply Chain Management.