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  • Papers of the 11th Asia-Pacific Regional Conference of the ISTVS
    • 0303 / Composite Beam Tests with Closed Cell Polyurethane and Aluminum Foam
    • 0356 / Design and Simulation Analysis of Intelligent Suspension for Manned Lunar Rover
    • 0861 / Review of the Reconfigurable Wheel-Tracked System
    • 0963 / A Wheel and Vehicle Mobility Index Based on Traction and Velocity...
    • 1128 / Semi-Active Reinforcement Learning Suspension Control for the Off-Road Vehicles
    • 1491 / Design and Verification of a Creeping Mars Rover
    • 1534 / Foothold Selection Considering Constraint and Slippage Evaluation for Legged Robots
    • 1561 / Prominent Problems and Thoughts of “Paddy Soil-Terrain Machine System”...
    • 1655 / Modeling of Lunar Rover Vehicle Wheel-Soil Interaction Using Fem-Dem Method
    • 2034 / A Comprehensive Lumped Parameter Approach for the Dynamic Simulation...
    • 2149 / Investigation of the Shear Stress Dynamics on Silty Loam Soil and Measurement...
    • 2190 / Tyre Parameterization Tests: Dynamic vs. Static
    • 2539 / Model Predictive Control of a Robot Driven Vehicle for Testing of Advanced Driver...
    • 2632 / Energy Consumption Analysis of Door Opening with a Mobile Manipulator...
    • 2643 / An Improved Simultaneous Localization and Mapping Method Base on LeGO-LOAM and Motion Compens
    • 3351 / Benchmarking of Compression Testing Devices in Snow
    • 4054 / Field Validation of Egress Process for Planetary Rover
    • 4243 / Soil Compaction Monitoring Technique Using Deep Learning
    • 4260 / The Running Gear Construction Impact on Obstacles Overcoming by Light High-Mobility UGV
    • 4409 / Design of Self-Driving Bulldozer System
    • 4744 / Terrain Classification Using Mars Raw Images Based on Deep Learning Algorithms...
    • 4774 / Steadily Learn to Drive with Virtual Memory
    • 4782 / Experimental Study of Track-Soil Interactions of the Steering Performance of Tracked...
    • 4812 / Multi-Fidelity Machine Learning Modeling for Wheeled Locomotion on Soft Soil
    • 4827 / Introducing Polibot: A High Mobility Tracked Robot with Innovative Passive Suspensions
    • 5060 / Bionic Quadruped Robot for Mars Surface Exploration
    • 5408 / Ride Comfort Comparison Between Suspension Modes: Input Towards Designing Difference...
    • 5800 / Interaction Modeling and Dynamic Control Strategy for C-Shaped Leg with Sandy Terrain...
    • 5979 / Research on Drag Reduction Performance of Sliding Plate of Rice Direct Seeding Machine...
    • 6174 / Factors Affecting Bevameter Soil Characterization
    • 6316 / Perceptive Locomotion of Legged Robot Coupling Model Predictive Control and Terrain Mapping
    • 6718 / Research on Vehicle Running Performance on Paved Roads Covered with Falling Volcanic Ash
    • 6796 / Nonparametric Terrain Estimation Based on the Interaction Simulation Between Planetary...
    • 7018 / A Review of Modeling and Validation Techniques for Tire-Deformable Soil Interactions
    • 7092 / A Time Domain Passivity Controller for Teleoperation of Four Wheeled Differential...
    • 7199 / Vehicle Dynamic Factor Characterized by Actual Velocity and Combined Influence...
    • 7233 / Study of Passive Steering Mechanism for Mars Surface Exploration Rovers
    • 7399 / Tire-Soil Tangential Force Reinforcement Learning Modeling
    • 7878 / A Method for Fast Obtaining of Soil Shear Strength Index Based on Dem Free-Fall Cone...
    • 8131 / Parameters Calibration of Red Clay Soil in Hilly Area of Southwest China for Discrete...
    • 8349 / The Effect of Integrating a Bio-Inspired Convex Structure with a Low-Surface Energy...
    • 8654 / Construction of a Soil Clods Recognition Bench-Scale Experiment for Discrete Element...
    • 8658 / Investigation of the Relationship between the Cone Index and the Physical and...
    • 9352 / 3D-DEM Simulation and Post-Process Method of Wheel-Terrain Interaction for Planetary Rovers
    • 9768 / Design and Traction Performance Test of Bionic Paddy Wheel Based on Cattle Hoof
    • 9913 / Acquisition of Flipper Motion in Step-Climbing of Tracked Robot Using Reinforcement Learning
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  1. Papers of the 11th Asia-Pacific Regional Conference of the ISTVS

2149 / Investigation of the Shear Stress Dynamics on Silty Loam Soil and Measurement...

Paper presented at the 11th Asia-Pacific Regional Conference of the ISTVS

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Last updated 2 years ago

Title: Investigation of the Shear Stress Dynamics on Silty Loam Soil and Measurement of Traction-Wheel Slip Relationship of a Tractor Tire

Authors: César Arévalo and Stefan Böttinger

Abstract: The Hohenheim Tire Model (HTM) was developed and validated at the University of Hohenheim. It simulates the specific behavior of large-volume agricultural tires and is used in conjunction with multi-body models of tractors and other agricultural machines. Special focus is placed on driving dynamics and comfort. Currently the HTM is being expanded for implementation on soft soils. Therefor the soil's shear response using Bevameter tests and the relationship traction-wheel slip using a single wheel tester are investigated. In field tests, the effect of shear rate on soil mechanical parameters was examined. The shear device of the Bevameter was used to conduct experiments in a soil bin with silty loam at eight shear rates and five vertical loads. The Mohr-Coulomb failure criterion was calculated and the measured values were fitted to the Wong-Preston and the Janosi-Hanamoto approaches. The shear stress-shear displacement curves show two different behaviors with respect to shear rate. At high shear rates, the shear stress reaches a peak and then drops to a residual value, which is typical for cohesive soils. At low shear rates, the trend of the curves is exponential, which is typical for granular soils. The cohesion and angle of internal friction values are comparable to those from literature. The angle of internal friction has no correlation with shear rate while the cohesion shows a low correlation. Traction-wheel slip curves for the tractor tire 480/70 R24 with two tire loads (17 and 22 kN) and at 2 km∙h-1 were measured under identical conditions as the shear experiments. For the higher tire load, there is a tendency toward a larger tractive force. The curves of both wheel loads have equal gross traction coefficients. For the prediction of the traction force, the parameters obtained in the shear tests and the method of Wong and Preston-Thomas are used.

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https://doi.org/10.56884/WVQN3391
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