Rut Depth Evaluation of a Triple-Bogie System for Forwarders — Field Trials with TLS Data Support
Version
Published
Date Issued
2020
Author(s)
Type
Article
Language
English
Abstract
In 2019, the machine manufacturer HSM presented a forwarder prototype for timber hauling in cut-to-length processes fitted with a new 10-wheel triple-bogie (TB) setup approach aimed at promoting sustainable forest management by reducing the ecological impact of forest operations, especially under soft-soil working conditions. The purpose of our study was to assess the resulting soil-protection effect emerging from additional wheel-contact surface area. For this, the rut development under known cumulative weight, related to the soil conditions of shear strength and moisture content, was recorded for later comparison. Additional terrestrial laser scanning (TLS) was used to generate a multi-temporal digital terrain model (DTM) in order to enhance the data sample, assess data quality, and facilitate visualization of the impact of local disturbance factors. In all TB configurations, a rut depth of 10 cm (5.8–7.2 cm) was not exceeded after the hauling of a reference amount of 90 m3 of timber (average soil shear strength reference of 67 kPa, volumetric water content (VMC) 43%). Compared to a reference dataset, all observed configurations ranked in the lowest-impact machine categories on related soil stability classes, and the configuration without bogie tracks revealed the highest machine weight to weight distribution trade-off potential.
Subjects
SD Forestry
TJ Mechanical engineering and machinery
Publisher DOI
Journal
Sustainability
ISSN
2071-1050
Publisher URL
Organization
Sponsors
This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 727883.
Volume
12
Issue
16
Project(s)
Forwarder2020
Publisher
MDPI
Citation apa
Starke, M., Derron, C., Heubaum, F., & Ziesak, M. (2020). Rut Depth Evaluation of a Triple-Bogie System for Forwarders — Field Trials with TLS Data Support. In Sustainability (Vol. 12, Issue 16). MDPI. https://doi.org/10.24451/arbor.12264
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sustainability-12-06412 (1).pdf
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