Please use this identifier to cite or link to this item: https://elar.usfeu.ru/handle/123456789/11319
Title: Dynamic impact of wheeled skidders on forest soil in felling areas
Authors: Grigorev, I. V.
Kunickaya, O. A.
Tikhonov, E. А.
Hertz, E. F.
Druzyanova, V. P.
Timokhova, O. M.
Ivanov, V. A.
Kruchinin, I. N.
Issue Date: 2022
Publisher: Elsevier Ltd
Citation: Dynamic impact of wheeled skidders on forest soil in felling areas / I. V. Grigorev, O. A. Kunickaya, E. А. Tikhonov [et al.] // Journal of Terramechanics. – 2022. – Vol.101. – P. 1-9.
Abstract: Soil compaction from wheeled vehicles poses a huge challenge for the forest ecosystems. Modeling the impact of skidding machines on the soil could help solve the problem. The present work seeks to construct a mathematical model of soil compaction under the cyclic dynamic loading of wheeled skidding machines using the vibration analysis method for elastic dynamic systems. The study found that 4 × 4, 6 × 6 and 8 × 8 forestry vehicles have similar amplitude-frequency characteristics regardless of driving speed and load. The analysis of soil compaction from dynamic loading revealed that loaded and unloaded skidder passes cause the least damage (21–31%) to forest roads compared to skid trails. As regards skid trails, 4 × 4 and 6 × 6 tractors were found to compact the soil by 23–50% in the first four passes. The subsequent passes will lead to 60–66% of compaction. Finally, 8 × 8 trucks cause 98–99% of soil compaction. The difference between the experimental and theoretical values of soil density does not exceed 12%. The unevenness coefficient of the soil compaction and the confidence interval fall within the acceptable range. The mathematical models are in good agreement with the experimental data and can be used to calculate the operating modes of wheeled forestry equipment. © 2022 ISTVS
Keywords: AMPLITUDE-FREQUENCY CHARACTERISTICS
MATHEMATICAL MODEL
SKIDDING
SOIL COMPACTION
SYSTEM EFFICACY
WHEELED TRACTOR
URI: https://elar.usfeu.ru/handle/123456789/11319
DOI: 10.1016/j.jterra.2022.02.001
SCOPUS: 2-s2.0-85124523928
WoS: WOS:000853499600001
RSCI: 48030320
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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