Research on forest terrain roughness as a source of dynamic action on the vehicle

https://doi.org/10.17221/43/2017-JFSCitation:Mikleš M., Helexa M., Mikleš J. (2017): Research on forest terrain roughness as a source of dynamic action on the vehicle. J. For. Sci., 63: 363-369.
download PDF
The issue of terrain conditions is very complex and its description is approached from different perspectives and with different objectives. Because it consists of the gathering of basic information for a mobile object, a wheeled forestry tractor, the terrain-vehicle approach was taken as the basis. Ground conditions are part of the operating conditions of wheeled forestry tractors. Uneven ground can be regarded as a source of vibration in the vehicle – towing truck. In this respect, given the random shape of the surface roughness, the solution to vibrations leads to a terrain correlation analysis in order to obtain a correlation function and power spectral density of the ground surface. Scanning of the ground micro-profile was performed using a device for quick terrain scanning, which from the mechanical aspect consists of a towing vehicle and a measuring carriage. Correlation function and power spectral density are the evaluation based on ground micro-profile measurements and the results of calculations. Measurements of forest terrain (road) micro-profile were done in the area of Little Fatra and Little Carpathians in Slovakia. In geological terms, the measurements were done in an area with the occurrence of gneiss, granite, limestone and flysch. No measurements were performed in a sandy area.
References:
Spinola Barbosa Roberto (2012): Vehicle Vibration Response Subjected to Longwave Measured Pavement Irregularity. Journal of Mechanical Engineering and Automation, 2, 17-24  https://doi.org/10.5923/j.jmea.20120202.04
 
Bekker M.G. (1969): Introduction to Terrain-vehicle Systems. Ann Arbor, University of Michigan Press: 580.
 
Bekker M.G. (1983): Prediction of Design and Performance Parameters in Agro-forestry Vehicles: Methods, Tests, and Numerical Examples. Ottawa, National Research Council of Canada: 232.
 
Bendat J.S., Piersol A.G. (1967): Measurement and Analysis of Random Data. New York, John Wiley & Sons, Inc.: 390.
 
Davis B.R., Thompson A.G. (2001): Power Spectral Density of Road Profiles. Vehicle System Dynamics, 35, 409-415  https://doi.org/10.1076/vesd.35.6.409.2039
 
FASSBENDER F. R., FERVERS C. W., HARNISCH C. (1997): APPROACHES TO PREDICT THE VEHICLE DYNAMICS ON SOFT SOIL. Vehicle System Dynamics, 27, 173-188  https://doi.org/10.1080/00423119708969653
 
González A., O'brien E.J., Li Y.-Y., Cashell K. (2008): The use of vehicle acceleration measurements to estimate road roughness. Vehicle System Dynamics, 46, 483-499  https://doi.org/10.1080/00423110701485050
 
Imine H., Fridman L. (2008): Road profile estimation in heavy vehicle dynamics simulation. International Journal of Vehicle Design, 47, 234-  https://doi.org/10.1504/IJVD.2008.020889
 
Yoon Sugjoon (2003): A Study on Terrain-Surface Modeling and Searching Algorithms for Real-time Simulation of Off-Road Vehicles. Vehicle System Dynamics, 39, 353-363  https://doi.org/10.1076/vesd.39.5.353.14147
 
Svenson G., Fjeld D. (2014): The impact of road geometry and surface roughness on fuel consumption for Swedish logging trucks. In: Philips S. (ed.): Proceedings of the 5th Transport Research Arena, Paris, Apr 14–17, 2014: 1–10.
 
Thomsen L. M., Baartman J. E. M., Barneveld R. J., Starkloff T., Stolte J. (2015): Soil surface roughness: comparing old and new measuring methods and application in a soil erosion model. SOIL, 1, 399-410  https://doi.org/10.5194/soil-1-399-2015
 
Udas A. (2011): Road variability and its effect on vehicle dynamics simulation. [Ph.D. Thesis.] Iowa City, University of Iowa: 210.
 
Wong J.Y. (1989): Terramechanics and Off-road Vehicles. Amsterdam, Elsevier: 251.
 
download PDF

© 2021 Czech Academy of Agricultural Sciences | Prohlášení o přístupnosti