The interaction between the tire and road has long been of interest for vehicle dynamic simulation. A planar tire model is developed to capture the tire circumferential displacements and calculate the spindle force according to the tire shape. The tire is discretized into segments and Hamilton’s principle is used to derive the model mathematical expression. It is shown that the static constraint modes are functions of two non-dimensional parameters; a third parameter defines the overall stiffness. These parameters are experimentally identified for a specific tire. The bridging and enveloping properties are examined circumferentially. The prediction accuracy of spindle force with respect to tire-road interference is evaluated by comparing the simulation and experimental response for a quasi-static cleat test. The simulation result of spindle force agrees with the experimental data and the process can be implemented as a morphological pre-filter of road profiles for more efficient vehicle modeling and simulation.
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ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference
October 17–19, 2012
Fort Lauderdale, Florida, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4531-8
PROCEEDINGS PAPER
Capturing Planar Tire Properties Using Static Constraint Modes
Alexander A. Reid,
Alexander A. Reid
U.S. Army RDECOM-TARDEC, Warren, MI
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John B. Ferris
John B. Ferris
Virginia Tech, Danville, VA
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Rui Ma
Virginia Tech, Danville, VA
Alexander A. Reid
U.S. Army RDECOM-TARDEC, Warren, MI
John B. Ferris
Virginia Tech, Danville, VA
Paper No:
DSCC2012-MOVIC2012-8552, pp. 487-493; 7 pages
Published Online:
September 17, 2013
Citation
Ma, R, Reid, AA, & Ferris, JB. "Capturing Planar Tire Properties Using Static Constraint Modes." Proceedings of the ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. Volume 3: Renewable Energy Systems; Robotics; Robust Control; Single Track Vehicle Dynamics and Control; Stochastic Models, Control and Algorithms in Robotics; Structure Dynamics and Smart Structures; Surgical Robotics; Tire and Suspension Systems Modeling; Vehicle Dynamics and Control; Vibration and Energy; Vibration Control. Fort Lauderdale, Florida, USA. October 17–19, 2012. pp. 487-493. ASME. https://doi.org/10.1115/DSCC2012-MOVIC2012-8552
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