Theoretical studies of dynamic soil compaction by wheeled forestry machines
| 1 | Yakut State Agricultural Academy |
| 2 | Perm National Research Polytechnic University |
| 3 | Bratsk State University |
| 4 | Saint Petersburg State University of Architecture and Civil Engineering |
| 5 | Federal State Budget Educational Institution of Higher Education "Petrozavodsk State University" |
CORRESPONDING AUTHOR
Submission date: 2020-05-19
Final revision date: 2020-06-30
Acceptance date: 2020-09-18
Online publication date: 2020-11-09
Publication date: 2020-11-09
Diagnostyka 2020;21(4):3–13
KEYWORDS
Laplace transformD'Alembert's principledynamic soil compactiontractor’s cyclic circuitthe Kelvin-Voigt
TOPICS
ABSTRACT
The impact of forest skidding machine tires on the soil differs depending on topography, soil properties, and type of the wheel system. The development of a mathematical model describing the entire dynamic process is a challenging but relevant task to assess the level of impact. The work aims mathematical modeling of the impact caused by the skidding system on the forest soil employing Kelvin-Voigt theory with additional elastic element and Laplace transform equations. A dynamic model represents the "tractor–timber bundle–soil" system. According to the results of mathematical modeling, it was found that studying the vertical vibrations and vibrations of sprung mass in longitudinal and transverse planes is sufficient for examining dynamic soil compaction. Developed methods of statistical dynamics with the presentation of the track surface microroughness and the theory of linear elastic and viscous soil deformation showed that each pass of the skidding system is ac-companied by additional dynamic soil compaction. The results of these studies provide an opportunity to predict the exposure level of skidders and establish new solutions to minimize negative consequences for the environment and productivity of the forest industry.
FUNDING
The work was carried out within the confines of the scientific school "Advances in lumber industry and forestry".
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