{"title":"Using high-fidelity discrete element simulation to calibrate an expeditious terramechanics model in a multibody dynamics framework","authors":"Yuemin Zhang, Junpeng Dai, Wei Hu, Dan Negrut","doi":"arxiv-2407.18903","DOIUrl":null,"url":null,"abstract":"The wheel-soil interaction has great impact on the dynamics of off-road\nvehicles in terramechanics applications. The Soil Contact Model (SCM), which\nanchors an empirical method to characterize the frictional contact between a\nwheel and soil, has been widely used in off-road vehicle dynamics simulations\nbecause it quickly produces adequate results for many terramechanics\napplications. The SCM approach calls for a set of model parameters that are\nobtained via a bevameter test. This test is expensive and time consuming to\ncarry out, and in some cases difficult to set up, e.g., in extraterrestrial\napplications. We propose an approach to address these concerns by conducting\nthe bevameter test in simulation, using a model that captures the physics of\nthe actual experiment with high fidelity. To that end, we model the bevameter\ntest rig as a multibody system, while the dynamics of the soil is captured\nusing a discrete element model (DEM). The multibody dynamics--soil dynamics\nco-simulation is used to replicate the bevameter test, producing high-fidelity\nground truth test data that is subsequently used to calibrate the SCM\nparameters within a Bayesian inference framework. To test the accuracy of the\nresulting SCM terramechanics, we run single wheel and full rover simulations\nusing both DEM and SCM terrains. The SCM results match well with those produced\nby the DEM solution, and the simulation time for SCM is two to three orders of\nmagnitude lower than that of DEM. All simulations in this work are performed\nusing Chrono, an open-source, publicly available simulator. The scripts and\nmodels used are available in a public repository for reproducibility studies\nand further research.","PeriodicalId":501309,"journal":{"name":"arXiv - CS - Computational Engineering, Finance, and Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computational Engineering, Finance, and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.18903","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The wheel-soil interaction has great impact on the dynamics of off-road
vehicles in terramechanics applications. The Soil Contact Model (SCM), which
anchors an empirical method to characterize the frictional contact between a
wheel and soil, has been widely used in off-road vehicle dynamics simulations
because it quickly produces adequate results for many terramechanics
applications. The SCM approach calls for a set of model parameters that are
obtained via a bevameter test. This test is expensive and time consuming to
carry out, and in some cases difficult to set up, e.g., in extraterrestrial
applications. We propose an approach to address these concerns by conducting
the bevameter test in simulation, using a model that captures the physics of
the actual experiment with high fidelity. To that end, we model the bevameter
test rig as a multibody system, while the dynamics of the soil is captured
using a discrete element model (DEM). The multibody dynamics--soil dynamics
co-simulation is used to replicate the bevameter test, producing high-fidelity
ground truth test data that is subsequently used to calibrate the SCM
parameters within a Bayesian inference framework. To test the accuracy of the
resulting SCM terramechanics, we run single wheel and full rover simulations
using both DEM and SCM terrains. The SCM results match well with those produced
by the DEM solution, and the simulation time for SCM is two to three orders of
magnitude lower than that of DEM. All simulations in this work are performed
using Chrono, an open-source, publicly available simulator. The scripts and
models used are available in a public repository for reproducibility studies
and further research.