Motion Resistance of Wheeled Vehicles in Snow

• Main Author: Richmond, Paul W.
• Other Authors: COLD REGIONS RESEARCH AND ENGINEERING LAB HANOVER NH
• Format: Text
• Language: English
• Published: 1995
• Subjects: Surface Transportation and Equipment; Snow; Ice and Permafrost; *MOBILITY; *SNOW; *GROUND VEHICLES; VELOCITY; PRESSURE GRADIENTS; MATHEMATICAL MODELS; ALGORITHMS; RESISTANCE; LOADS(FORCES); COMPARISON; DEFORMATION; MOTION; ANALYSIS OF VARIANCE; DEPTH; REGRESSION ANALYSIS; SNOW COVER; MATHEMATICAL PREDICTION; TRACTION; WHEELS; ROAD TESTS; TIRES; TRUCKS; NONLINEAR ANALYSIS; DRAG; OFFROAD TRAFFIC; ARMORED VEHICLES; TOWED VEHICLES; HMMWV(HIGH MOBILITY MULTIPURPOSE WHEELED VEHICLES); PE62784A; WUM04; Ice; permafrost
• Online Access: http://www.dtic.mil/docs/citations/ADA294675; http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA294675

Before vehicle mobility in snow can be reliably predicted, a complete understanding of motion resistance in snow is required. This report examines several aspects of wheeled vehicle motion resistance using results obtained with the CRREL instrumented vehicle. Resistances of leading and trailing tires are examined. Limited data are presented for undercarriage drag, and third and fourth wheel passes in the same rut are initially analyzed, as is how snow deforms around a wheel. For the CRREL instrumented vehicle, a trailing tire has a resistance coefficient of about 0.017 for snow depths less than about 22cm. For deeper snow, the disruption of the snowpack caused by a preceding wheel causes snow to fall into the rut, resulting in higher trailing tire coefficients. For larger vehicles, which in some cases have trailing tires carrying larger loads than preceding tires, the trailing tire coefficients are on the order of 0.048 and 0.025 for second and third trailing wheels respectively. Since there are no trailing tire data available for these larger vehicles, these values are based on nonlinear regression analysis, which includes a prediction of the leading tire resistance. The results and observations of this study are applied in a reanalysis of the towed resistance data obtained during the U.S. Army's Wheels vs. Tracks study. An improved algorithm is presented for predicting wheeled vehicle motion resistance caused by snow. (AN)