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AVDL

Research and Focus Areas

The current projects at AVDL can be divided into six broad categories:

  • Suspensions
  • Noise and Vibration
  • Vehicle Dynamics
  • Terramechanics
  • Multibody System Dynamics
  • Biodynamics

Suspensions

  • Application of controllable Magneto Rheological (MR) dampers to industrial and advanced applications
  • Dynamic and kinematics analysis of heavy truck suspensions
  • Design and analysis of controllable seat suspensions for heavy vehicles
  • Impact of heavy truck suspensions on road damage

Noise and Vibrations

  • Applying advanced piezoceramic materials for reducing noise and vibrations in ground vehicles
  • Identifying the source of noise and vibrations
  • Reducing noise and vibrations using passive and piezoceramic (smart) damping material in vehicles such as cars, highway trucks, locomotive cabs, and farm tractor cabs.

Vehicle Dynamics

  • Mathematical modeling and numerical analysis, as well as field-testing of vehicles
  • Tire and track models
  • Analytical modeling and computer simulation of tracked vehicles to evaluate their dynamic performance and off-road mobility

Terramechanics

  • Developing mathematical models to capture the vehicle-terrain interaction for wheeled and tracked off-road vehicles Single Suspension Test Rig Semi-active Primary Suspension for Passenger Vehicles
  • Mathematical modeling for vehicle-terrain interaction of manned and unmanned off-road vehicles, to evaluate their dynamic performance and mobility
  • Stochastic soil and terrain modeling
  • Experimental studies for tire/track-soil/ice contact

Multibody System Dynamics

  • Efficient treatment of multibody dynamic systems with uncertainties
  • Develop novel control methodologies for complex nonlinear mechanical systems

BioDynamics

  • Efficient treatment of multibody dynamic systems with uncertainties
  • Develop novel control methodologies for complex nonlinear mechanical systems
  • Studying the effect of vehicle noise and vibrations on human body comfort and fatigue and cognitive performance