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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

8131 / Parameters Calibration of Red Clay Soil in Hilly Area of Southwest China for Discrete...

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

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Last updated 2 years ago

https:/doi.org/10.56884/BOCW9283

Title: Parameters Calibration of Red Clay Soil in Hilly Area of Southwest China for Discrete Element Simulation Based on Repose Angle Test

Authors: Le Yang, Qinghui Lai, Liangliang Zhao, Peihang Li, Zhihong Zhang, and Zhaoyang Chen

Abstract: Its southwest's rugged and mountainous terrain has thick soil, which causes high resistance, poor efficiency, and sometimes even the impossibility to operate agricultural equipment. Using discrete element simulation, a cutting-edge technical technique, it is possible to optimize the agricultural machinery elements that come into contact with the soil in order to reduce drag and increase efficiency. Although there are presently no precise and trustworthy discrete element modeling parameters for red clay, the physical characteristics of red clay in the hilly and mountainous regions of the southwest are unique. As a result, in this study, the soil moisture content was 12.5%1% and 18.3%1%, respectively, for the actual working environment of the soil moisture content of 10%–20% in the hilly and mountainous areas of southwest China, and the experiment's measurement of the accumulation angle was 38.54°. This subject of the study was clay. To calibrate the appropriate model's physical characteristics, use the Hertz-Mindlin with JKR contact model in the EDEM simulation software. Prior to simulating the accumulation angle of soil particles, the intrinsic physical parameter values of the red loam soil are first obtained through actual experiments. The range of soil contact mechanical parameters in the GEMM database is then used to determine the optimal value interval of the contact parameters determined by the steepest slope test. In order to determine the regression model of the soil accumulation angle, the quadratic regression rotation orthogonal combination test is used to obtain the second-order regression model of the accumulation angle and the significant parameters. The significant parameters are then optimized using the actual accumulation angle as the target. In the end, it was found that the following contact mechanics characteristics worked well together in the EDEM simulation test: JKR surface energy 8 J/m2, restitution coefficient 0,35, dynamic friction coefficient 0,13, and static friction coefficient 0,56. The relative inaccuracy determined by the actual physical test is 1.80%, and the stacking angle is 39.24°. The study's findings demonstrate that the method has a high degree of calibration accuracy and is both reasonable and useful for calibrating soil discrete element simulation parameters. The pertinent calibration parameters can serve as a technological foundation for investigating machine-soil interaction and machine-tool optimization research in southwest China's hilly and mountainous regions.

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