• Journal of Korean Society of Forest Science
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• v.83 no.3
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• pp.357-364
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• 1994

In this paper, the characteristics of cable logging systems, of which skyline length is adjustable during operation are discussed from a standpoint of system geometry. Among the cable logging systems, the live skyline is the typical one, of which operation is easy to understand. To analyze the cable logging mechanics of the live skyline, computer models were developed. In developing the computer models, the concept of the live skyline operation was classified into 'true live skyline' and 'live skyline with lift'. The former assumes to adjust skyline length continuously to maintain the skyline clearance over ground constant during inhaul ; the latter assumes to shorten the skyline length only to keep the minimum skyline clearance during inhaul. The computer model was used in investigating the mechanical efficiency and the operational characteristics of the live skyline system. First, the payload capability of live skyline was compared with that of standing skyline. Second, the effect of the change in the log-drag geometry on the payload capability of live skyline was investigated. Finally, the payload capability of live skyline with lift was compared with that of true live skyline as an effort to explain the concepts of true live skyline and live skyline with lift.

• Journal of Korean Society of Forest Science
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• v.82 no.1
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• pp.34-43
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• 1993

In this paper, the characteristics of cable logging operations are discussed from a standpoint of mechanics. An example of standing skyline operations is used to illustrate the mechanical principles. Using force and moment boundary conditions, the maximum allowable payload was formulated as a function of slope profile, system geometry and operation options. This formulation includes fundamental equations for log drag and single segment mechanics. The catenary link model is the basic assumption in simulating cable segment stretches. In order to demonstrate the solution procedures of the formulation, a computer model was developed. The model uses Secant algorithm to determine the solution of the complex nonlinear equation set. Finally, the computer model was demonstrated using a hypothetical data set.