Comprehensive studies of the thermal and moisture properties of subgrade soils of logging roads
https://doi.org/10.21266/2079-4304.2023.246.331-349
Abstract
The article describes a methodology for studying the thermal and moisture properties of soils by complex methods that allow determining both thermal characteristics and moisture properties of soils on the basis of testing a single sample. The presented technique is implemented with the help of a specially developed installation for the complex determination of thermal and moisture properties of soils. As a result, the values of the coefficients of thermal conductivity, thermal conductivity and specific heat capacity for loams, sandy loams were obtained, and the effect of density and humidity on their magnitude was investigated. The fuel assemblies of soils at various humidities and compaction coefficients were studied. The main thermophysical characteristics and humidity properties of heavy loams for various humidities and densities are determined. Statistical processing of measurements was carried out in order to determine the relative error and the required number of measurements.
About the Authors
A. N. BryukhovetskyRussian Federation
RYUKHOVETSKY Andrey N. – PhD (Technical), doctoral student
394036. Revolution av. 19. Voronezh
A. V. Skrypnikov
Russian Federation
SKRYPNIKOV Aleksey V. – DSc (Technical), Dean of the Faculty of Control and Informatics in Technological Systems
394036. Revolution av. 19. Voronezh
Yu. Yu. Volodina
Russian Federation
VOLODINA Yuliya Yu. – Lecturer
394036. Revolution av. 19. Voronezh
D. D. Mirzoev
Russian Federation
MIRZOEV David D. – external student
394036. Revolution av. 19. Voronezh
A. S. Sergeev
Russian Federation
SERGEEV Andrey S. – external student
394036. Revolution av. 19. Voronezh
A. A. Karpov
Russian Federation
KARPOV Alexander S. – external student
394036. Revolution av. 19. Voronezh
References
1. Boltnev D.E. et al. Integration of the differential equation of vehicle motion based on the analytical expression of the dynamic characteristic. Repair. Recovery. Modernization, 2021, no. 10, pp. 33–37. (In Russ.)
2. Borovlev A.O., Vysotskaya I.A. et al. Improving the efficiency of logging roads. Modern science-intensive technologies, 2021, no. 4, pp. 9–13. (In Russ.)
3. Chirkov E.V. et al. Methodological recommendations for automated design of the logging road route using optimization methods. Automation. Modern technologies, 2021, vol. 75, no. 2, pp. 60–65. (In Russ.)
4. Gulevsky V.A. et al. Experimental assessment of grip qualities and evenness of coatings under various conditions of roads and weather conditions. Bulletin of the Voronezh State Agrarian University, 2018, no. 1 (56), pp. 112–118. (In Russ.)
5. Kozlov V.G. et al. Theoretical foundations and methods of mathematical modeling of logging roads. IVUZ. Forest magazine, 2018, no. 6 (366). (In Russ.)
6. Logoida V.S. [et al.] Development of the method for individual forecasting of technical state of logging machines. International Journal of Engineering and Advanced Technology, 2019, vol. 8, no. 5, pp. 2178–2183.
7. Matsnev M.V. et al. Quantitative assessment of the influence of climatic factors on the creation of seasonal reserves and the pace of specialized road construction flows. Construction and road machines, 2021, no. 5, pp. 18–24. (In Russ.)
8. Nikitin V.V. et al. Designing schemes for the transport development of forests using information and intelligent systems. Automation. Modern technologies, 2022, vol. 76, no. 3, pp. 130–134. (In Russ.)
9. Nikitin V.V. et al. A linear model of the forest transport network and an algorithm for assessing the influence of the density of points and the length of links in developing multi-forested areas. SSRG International Journal of Engineering Trends and Technology, 2021, vol. 69, no. 12, pp. 175–178.
10. Sivkov E.N. et al. Driving conditions on logging roads. Study of the timber resource base of the Komi Republic: scientific and methodological aspect. Collection of materials of the scientific-practical conference on the scientific theme of the institute «Development of scientific foundations and practical recommendations for the transfer of the forest resource base of the Republic of Komi to an innovative intensive model of expanded reproduction for 2015–2020». Managing editor E.V. Khokhlova. 2017, pp. 19–23. (In Russ.)
11. Skrypnikov A.V. et al. Mathematical model of statistical identification of car transport informational provision. ARPN Journal of Engineering and Applied Sciences, 2017, vol. 12, no. 2, pp. 511–515.
12. Smirnov M.Yu. et al. Use of reinforced soils, local materials and industrial waste for the construction of road pavement for forest roads. Yoshkar-Ola, 2017. (In Russ.)
13. Smirnov M.Yu., Skrypnikov A.V., Kozlov V.G. et al. Improving the efficiency of the functioning of forest roads Yoshkar-Ola, 2016. (In Russ.)
14. Storodubtseva T.N. et al. Resistance to movement as a qualitative indicator of the condition of logging roads. Construction and road machines, 2022, no. 2, рр. 35–40. (In Russ.)
Review
For citations:
Bryukhovetsky A.N., Skrypnikov A.V., Volodina Yu.Yu., Mirzoev D.D., Sergeev A.S., Karpov A.A. Comprehensive studies of the thermal and moisture properties of subgrade soils of logging roads. Izvestia Sankt-Peterburgskoj lesotehniceskoj akademii. 2023;(246):331-349. (In Russ.) https://doi.org/10.21266/2079-4304.2023.246.331-349