Soil Modeling and Simulation for Terramechanics Applications of Manned and Unmanned Autonomous Vehicles
We are pleased to welcome the editors of the upcoming Journal of Terramechanics Special Issue on Soil Modeling and Simulation for Terramechanics Applications of Manned and Unmanned Autonomous Vehicles to discuss the topics of this special issue, invite authors to submit to the special issue, and open for questions for further discussion with the attendees. The open-for-paper-submissions date is June 2023.
March 28, 2023 » 08:00 EST / 14:00 CET / 21:00 JST » View Recording
FROM THE GUEST EDITORS
Mehari Tekeste
Iowa State University
The Journal of Terramechanics solicits submissions on real-time and physics-based terramechanics soil constitutive models, their computational effectiveness and prediction accuracy for applications to off-road vehicle dynamics, mobility and energy efficiency under various terrain conditions.
Thomas R. Way
USDA-ARS National Soil Dynamics Lab, Auburn, Alabama, U.S.
This special issue of the Journal of Terramechanics encourages manuscripts for:
Mustafa Alsaleh
Information Technology Manager, Data Warehouse & Business Intelligence, GIS, Caterpillar, Inc.
Robust real-time physics-based soil models and simulation methods
Real-time locomotion-soil interaction and 3D-force formation in the locomotion-soil contact
Application of real-time physics-based soil models to vehicle mobility and energy efficiency modeling, simulation, and assessment on-the-go
Calibration and validation of physics-based soil models, including but not limited to artificial intelligence-based validation of soil data
Innovative in-situ soil exteroceptive and proprioceptive sensors, sensor models, and measurement methods for real-time applications on vehicle hardware and in real-time mobility simulations and prediction of vehicle dynamic behavior on off-road terrains
Over the last three to four decades, various soil modeling and simulation techniques have been developed. The soil models broadly could be classified as empirical and semi-empirical parameterized terramechanics models to physics-based high-fidelity constitutive soil models.
With the rapid advancement of research and engineering on automation, autonomy and intelligent control algorithms for off-road vehicle applications, it is important to develop real-time modeling and simulation of dynamic interactions of vehicle locomotion systems and vehicle ground engaging tools, with granular soil material.
Most empirical and semi-empirical terramechanics models currently used in vehicle-soil interactions are based on experimental data and can run in real-time. This is not the case for physics-based high-fidelity constitutive soil models, which are characterized by different metrics of fidelity/accuracy of actual physical processes they simulate. Thus, the tradeoff between the real-time modeling and achievable accuracy of simulation outcomes becomes an issue.
Mehari Tekeste | Associate Editor and Special Issue Guest Editor
Physical Systems Modeling and Simulation of Agricultural and Off-Road Machinery Systems, Iowa State University
Thomas R. Way | Associate Editor and Special Issue Guest Editor
USDA-ARS National Soil Dynamics Lab, Auburn, Alabama, U.S.
Mustafa Alsaleh | Guest Editor
Information Technology Manager, Data Warehouse & Business Intelligence, GIS, Caterpillar, Inc.