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차륜 슬립과 침하를 이용한 실시간 정격 원추 지수 예측

Real Time Prediction of Rating Cone Index using Measured Wheel Sinkage and Slip

  • 발행 : 2009.08.25

초록

It has been known from Willoughby's empirical equation that rating cone index can be determined if wheel sinkage and slip of a vehicle can be measured on soil surface. A field data of wheel sinkage and slip was collected from two tractors of different sizes on gravelly sand and gravelly loamy sand. Using the data, rating cone index of the soil was estimated. The estimated rating cone index demonstrated that it could be determined in real time by measuring wheel sinkage and slip. It was also demonstrated statistically that the same soil strength could be obtained under the same soil conditions regardless of the vehicle platforms used for the wheel sinkage and slip measurements.

키워드

참고문헌

  1. Affleck, R. T. 2005. Disturbance Measurements from Off-road Vehicles on Seasonal Terrain. Technical Report ERDC/CRREL TR-05-12. US Army Corps of Engineers, Vickburg, MISS., USA
  2. ASABE Standards. 2006. S313.3 : Soil Cone Penetrometer. American Society of Agricultural and Biological Engineers, St. Joseph, MI, USA
  3. Bekker, M. G. 1969. Introduction to Terrain-Vehicle Systems. University of Michigan Press, Ann Arbor, MI., USA
  4. Sandomirsky, S., A. Anderson, G. Savant and M. Naumov. 2007. Optical measurement of soil penetration resistance and automatic determination of rating cone index. Proceedings of the Joint North America, Asia-Pacific ISTVS Conference and Annual Meeting of Japanese Society for Terramechanics. June 23-26. Fairbanks, Alaska, USA
  5. Sullivan, P. M. and B. A. Alan. 2000. A Methodology for Estimation Army Training and Testing Area Carrying Capacity (attac) Vehicle Severity Factors and Local Condition Factors. Technical Report ERDC TR-00-2. US Army Corps of Engineers. Vickburg, MISS., USA

피인용 문헌

  1. Effects of Distribution of Axle Load and Inflation Pressure of Tires on Fuel Efficiency of Tractor Operations vol.36, pp.5, 2011, https://doi.org/10.5307/JBE.2011.36.5.303