Theoretical studies of dynamic soil compaction by wheeled forestry machines

Grigorev, Igor; Kunickaya, Olga; Burgonutdinov, Albert; Ivanov, Viktor; Shuvalova, Svetlana; Shvetsova, Viktoria; Stepanishcheva, M.V.; Tikhonov, Evgeniy

doi:10.29354/diag/127650

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…Manukowskii [40], presented a model to calculate rutting by caterpillar forest machinery based on number of passes, subsoil and topsoil properties. Grigorev et al [41] developed a model for dynamic soil compaction by wheeled forestry machines where the impact of topography, weight and type of wheel system could be studied. However, the model did not include parameters such as soil water content and soil type.…”

Section: Decision Support For Predicting Trafficability and Route Planningmentioning

confidence: 99%

Strategies to Mitigate the Effects of Soil Physical Disturbances Caused by Forest Machinery: a Comprehensive Review

et al. 2022

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Purpose of Review Ground-based mechanized forest operations can cause severe soil disturbances that are often long lasting and detrimental to the health of forested ecosystems. To reduce these soil disturbances, focus is being increasingly directed at identifying and using appropriate mitigation techniques. This systematic review considered 104 scientific articles and reported the main findings according to four core themes: terrain-related factors, operational planning, machine modifications, and types of amendments used to mitigate machine-induced soil impacts. Recent Findings For terrain-related factors, most severe disturbances occur on machine operating trails exceeding 20% slope and that soil bulk density and rut depth show greater increases in fine-textured soils. When considering operational planning, trafficability maps proved to be helpful in reducing the frequency and magnitude of soil damages as well as the length of trails needed within harvest sites, especially if they are regularly updated with weather information. Machine modifications, through high flotation tires, use of extra bogie axle, lower inflation pressure, and use of steel flexibles tracks, are highly researched topics because of the considerable upside in terms of machine ground pressure distribution and increased traction. Two main types of amendments emerged to mitigate soil disturbances: brush mats and mulch cover. Brush mats created from harvesting debris can spread the load of a machine to a greater area thereby lowering peak loads transferred to the soil. Brush mats of 15–20 kg m−2 are being recommended for adequate soil protection from harvesting operations. Summary To conclude, we outline recommendations and strategies on the use of soil mitigation techniques within cut-to-length forest operations. New research opportunities are also identified and discussed. Considering single factors causing machine-induced soil disturbances remains important but there is a pressing need for having a multi-disciplinary approach to tackle the complex problems associated with machine/soil/plant interactions.

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Section: Decision Support For Predicting Trafficability and Route Planningmentioning

confidence: 99%

Strategies to Mitigate the Effects of Soil Physical Disturbances Caused by Forest Machinery: a Comprehensive Review

et al. 2022

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“…The main indicator of soil is the cone index (CI), which shows the pressure at the end of the penetrometer after it is submerged into the soil at a certain depth [17]. Besides, the model requires additional parameters of deformed soil (rut depth or compaction), forwarder operational characteristics (driving resistance, coupling, traction, towing), tractor's dynamic parameters (nominal wheel load), tractor's static parameters (wheel's width, diameter, and height, radial deformation of the tire) [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Predicting the Passability of Wheeled Tractors

Khakhina¹,

Grigorev²,

Dolmatov³

et al. 2022

MMEP

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Assessment of the tractor's passability plays an essential role in determining its capability to move under certain conditions. However, the operation of forest machinery may lead to soil deformation and degradation of its mechanical properties. Consequently, this study aims to develop a mathematical model for the tractor's crosscountry capability assessment and its impact on the soil. A predictive model was created as part of the study, which depends on the soil and the forwarder parameters. Some high-correlation dependencies of deformation modulus and cone index, specific tractive force, internal friction angle, and shear modulus on these parameters were established. The developed model can be used to analyze changes in rut depth and soil compaction factors after multiple tractor passages. Soil moisture content and temperature can influence the deformation rate, as drier and warmer soils tend to deform much faster. Furthermore, the proposed model can analyze the impact of forestry and agricultural machinery on soils.

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