scholarly journals SUMMARY OF STUDIES ON THE ASSESSMENT OF VISUAL SMOOTHNESS OF LOGGING ROADS

2021 ◽  
pp. 28-32
Author(s):  
A.O. Borovlev ◽  
V.G. Kozlov ◽  
V.V. Nikitin ◽  
A.N. Bryukhovetskiy ◽  
D.E. Boltnev
Keyword(s):  
Logging Roads

Keeping Mud Off the Highway During Wet-Weather Logging

1991 ◽  
Vol 15 (1) ◽  
pp. 50-53
Author(s):  
Robert M. Shaffer ◽  
James M. Keesee
Keyword(s):  
Traffic Accidents ◽  
Control Phase ◽  
Wet Weather ◽  
Logging Roads

Abstract Mud transfer from soil-based logging roads to paved public highways by log trucks operating during muddy conditions is a major problem for southern logging contractors. Mud transfer can result in fines, traffic accidents, lawsuits, and loss of production. Four devices that could be attached to a log trailer to remove mud from the trailer's dual tires were designed, constructed, and field tested. A simple and inexpensive "bar and scraper" was found to be particularly effective, removing 85% of the mud accumulated during the control phase of the study. South J. Appl. For. 15(1):50-53.

scholarly journals Resource-saving method for calculating road surfaces of logging roads

2020 ◽  
Vol 17 (1) ◽  
pp. 1-13
Author(s):  
Vasily K Katarov
Keyword(s):  
Resource Saving ◽  
Road Surfaces ◽  
Logging Roads

Effects of Limestone Gravel on Selected Chemical Properties of Road Runoff and Streamflow

1987 ◽  
Vol 4 (1) ◽  
pp. 23-25 ◽  
Author(s):  
J. David Helvey ◽  
James N. Kochenderfer
Keyword(s):  
West Virginia ◽  
Practical Problem ◽  
Chemical Properties ◽  
Specific Conductance ◽  
Acidic Soil ◽  
Chemical Characteristics ◽  
Road Runoff ◽  
Runoff Water ◽  
Logging Roads ◽  
Fernow Experimental Forest

Abstract Limestone gravel applied to two logging roads built in acidic soil on the Fernow Experimental Forest significantly increased the concentration of calcium as well as the levels of alkalinity, specific conductance, and pH of road runoff water. However, a heavy gravel application to 5 km of road adjacent to a naturally acidic stream near Thomas, West Virginia, caused insignificant changes in the chemical characteristics of that stream. The application of these results to the practical problem of decreasing stream acidity is discussed. North. J. Appl. For. 4:23-25, March 1987.

scholarly journals Temporary Logging Roads Surfaced with Mulched Wood

2009 ◽  
Vol 24 (3) ◽  
pp. 124-127 ◽  
Author(s):  
Kevin Lyons ◽  
Ken Day
Keyword(s):  
Wood Surface ◽  
Field Trial ◽  
Operational Conditions ◽  
Fine Grained ◽  
Soil Failure ◽  
Fine Grained Soil ◽  
Logging Residue ◽  
Logging Roads

Abstract This article summarizes the results of a field trial where logging residue was mulched on site to produce a running surface for temporary in-block roads. The results of this trial indicate roads with a mulched wood surface outperform soil roads when the subgrade consists of a saturated fine-grained soil. Failure of the mulched wood roads was caused by excessive localized rutting, which could be repaired by hand or with a skidder blade under operational conditions.

Logging Roads in a Transportation Network of a Forest Industrial Enterprise

2019 ◽  
pp. 95-101
Author(s):  
E.V. Chernyshova ◽  
◽  
A.V. Skrypnikov ◽  
V.V. Samtsov ◽  
M.A. Abasov
Keyword(s):  
Transportation Network ◽  
Industrial Enterprise ◽  
Logging Roads

Modeling spatial decisions with graph theory: logging roads and forest fragmentation in the Brazilian Amazon

2013 ◽  
Vol 23 (1) ◽  
pp. 239-254 ◽  
Author(s):  
Robert Walker ◽  
Eugenio Arima ◽  
Joe Messina ◽  
Britaldo Soares-Filho ◽  
Stephen Perz ◽  
...  
Keyword(s):  
Graph Theory ◽  
Forest Fragmentation ◽  
Brazilian Amazon ◽  
Logging Roads

scholarly journals ANALYSIS OF THE INFLUENCE OF CLIMATE CONDITIONS ON THE START OF OPERATION OF SUMMER LOGGING ROADS

2020 ◽  
pp. 13-19
Author(s):  
A.P. Mokhirev ◽  
M.A. Zyryanov ◽  
S.O. Medvedev ◽  
N.A. Bragina
Keyword(s):  
Climate Conditions ◽  
Logging Roads

scholarly journals NEURAL FUZZY NETWORK FOR ASSESSING TECHNOLOGICAL SOLUTIONS FOR FOREST ROADS

2020 ◽  
Vol 10 (3) ◽  
pp. 95-103
Author(s):  
Vladimir Pobedinskiy ◽  
Sergey Buldakov ◽  
Andrey Berstenev ◽  
Elena Anastas
Keyword(s):  
Neural Network ◽  
Intelligent Systems ◽  
Information Technologies ◽  
Rapid Assessment ◽  
Road Construction ◽  
Road Surface ◽  
Forest Roads ◽  
The Road ◽  
Logging Roads ◽  
Fuzzy Network

The article is devoted to the problem of improving road construction technologies, in particular, technological solutions for logging roads. As you know, in road construction, the choice and justification of technological solutions for the road surface is one of the first stages of design, the efficiency of which affects further project as a whole, timing and costs of construction. The solution to such a problem is extremely difficult and, first of all, due to the many interrelated parameters, factors, as well as the uncertainties of data in the problem. The task becomes much more complicated when it is also necessary to take into account the economic indicators of road construction project. But it is in this form that it is of the greatest interest, since these characteristics are often the most important in practice. For these reasons, the problem remains completely unsolved. Therefore, requires further research, as noted, taking into account the uncertainties in the problem. Intelligent systems based on the theory of fuzzy sets, neural networks and their hybrid solutions are proposed for this class of problems, as a result of modern achievements in the field of mathematics and information technologies. Thus, the purpose of this research was to develop a neural network for evaluating technological solutions for logging roads. The result of the research was the development of an adaptive neuro-fuzzy network such as ANFIS, which allows calculating the cost of the road surface depending on the main technological and initial financial parameters. The neural network can be recommended for the design of forest roads, as well as for rapid assessment of the effectiveness of various technological solutions during competitive (tender) selection.

scholarly journals Justification of stone in construction materials bases and covers logging roads

2017 ◽  
Vol 6 (2) ◽  
pp. 84-90
Author(s):  
Кручинин ◽  
Igor Kruchinin
Keyword(s):  
Coordination Number ◽  
Construction Materials ◽  
Contact Forces ◽  
Cyclic Loads ◽  
Stone Materials ◽  
Stone Material ◽  
Logging Roads ◽  
Restraining Force

Justification of stone in construction materials bases and covers logging roads. These changes depending on the strength of stone material particles relative to the coordination number and change the contact forces between the particles when subjected to repeated cyclic loads. It was established that the limestone rubble strength of 400 is much more prone to crushing when the effects of multiple cyclic loads than solid dolomite and granite rub-ble. The increase in the restraining force between the particles due to the weak cementing stone materials ranged from 5 to 30 percent.

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