Using the simulation modeling with stochastic estimation of trafficability of forest transport systems

E E Bazhenov,S K Buynachev,D O Chernyshev

doi:10.1088/1742-6596/1177/1/012001

Abstract

Forecasting trafficability of logging and forest transport systems on the ground, which have a multi-sectional layout solution is considered in the paper. Trafficability problems are evaluated from the point of view of the stochastic character of indicators of traction properties - the forces of resistance to movement and the adhesion force of the driving wheels with the supporting surface. With the stochastic estimation of trafficability the law of Gaussian distribution for random values of the rolling resistance coefficient and the two-parameter Weibull distribution law with a negative asymmetry coefficient or values of the shape parameter greater than 4 for the cohesion coefficient was adopted. A stochastic approach to the evaluation of trafficability allows to ensure a rational distribution of the power flows between propulsors of the transport-technological system, which is shown in this paper.

Highlights

The work of transport-technological machines in some sectors of the economy is very specific
Forecasting trafficability of logging and forest transport systems on the ground, which have a multi-sectional layout solution is considered in the paper
A stochastic approach to the evaluation of trafficability allows to ensure a rational distribution of the power flows between propulsors of the transport-technological system, which is shown in this paper

Summary

Introduction

The work of transport-technological machines in some sectors of the economy is very specific. The use of all-wheel drive transport systems based on activation of the trailer structure and use of the articulated transport and technological machines is one of the promising directions in solution of many problems arising in transport and technological complexes operation in conditions of winter roads, dirt roads during dissolution and in other specific conditions. When creating such machines, the problem arises of predicting their off-road performance and, as a consequence, the distribution of power flows between the driving wheels in the process of motion.

Published under licence by IOP Publishing Ltd

Road conditions

Findings

Conclusion