Modeling granular material dynamics and its two-way coupling with moving solid bodies using a continuum representation and the SPH method

Hu, Wei; Rakhsha, Milad; Yang, Lijing; Kamrin, Ken; Negrut, Dan

doi:10.1016/j.cma.2021.114022

Cited by 28 publications

(57 citation statements)

References 88 publications

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“…gravity. The SPH method has proven effective and efficient in simulating granular material problems with large deformation (Nguyen et al, 2017;Hurley and Andrade, 2017;Hu et al, 2021a;Hu et al, 2022b).…”

Section: Overview Of the Crm Methodsmentioning

confidence: 99%

“…Conversely, the motion of the BCE particles is tied to that of the solid bodies, to which they are rigidly attached. Their role is to couple the motion of the SPH particles to the motion of the solid bodies (Hu et al, 2021a).…”

Section: Overview Of the Crm Methodsmentioning

confidence: 99%

“…As such, over the last decade there has been increased interest in homogenizing the terrain and employing a continuum representation method (CRM) in an attempt to reduce simulation times. In CRM, the continuum representation is spatially discretized using either a finite element method (FEM) approach (Chauchat and Médale, 2014;Ionescu et al, 2015); or a particle-based solution, see, for instance, the material point method (Sulsky et al, 1994;Bardenhagen et al, 2000;Soga et al, 2016;Baumgarten and Kamrin, 2019), and the smoothed particle hydrodynamics (SPH) method (Bui et al, 2008;Chen and Qiu, 2012;Nguyen et al, 2017;Hurley and Andrade, 2017;Hu et al, 2021a;Hu et al, 2022b). Going from a discrete to a continuum representation of the terrain leads to a significant reduction in the degree-of-freedom (DOF) count, which in our experience leads to a one to two order of magnitude reduction in simulation times (Chen et al, 2020;Xu et al, 2019;Hu et al, 2021a).…”

Section: Introductionmentioning

confidence: 99%

“…In CRM, the continuum representation is spatially discretized using either a finite element method (FEM) approach (Chauchat and Médale, 2014;Ionescu et al, 2015); or a particle-based solution, see, for instance, the material point method (Sulsky et al, 1994;Bardenhagen et al, 2000;Soga et al, 2016;Baumgarten and Kamrin, 2019), and the smoothed particle hydrodynamics (SPH) method (Bui et al, 2008;Chen and Qiu, 2012;Nguyen et al, 2017;Hurley and Andrade, 2017;Hu et al, 2021a;Hu et al, 2022b). Going from a discrete to a continuum representation of the terrain leads to a significant reduction in the degree-of-freedom (DOF) count, which in our experience leads to a one to two order of magnitude reduction in simulation times (Chen et al, 2020;Xu et al, 2019;Hu et al, 2021a). This has led, for instance, to mobility simulations of the VIPER Moon and Curiosity Mars rovers in different testing scenarios (uphill, downhill, and tilted deformable terrain) (Hu et al, 2021b;Hu et al, 2022b).…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, using known physical properties of the terrain, we use a virtual bevameter in conjunction with a CRM terrain to carry out the sinkage and annulus shear tests in simulation. The virtual bevameter is set up in a multibody dynamics code (Tasora et al, 2016), and the CRM solution is as described in (Hu et al, 2021a). Since the CRM approach is more accurate than the SCM approach, the "experimental" data produced by the virtual bevameter is used in lieu of the real experimental data to calibrate the SCM parameters.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Calibration of an expeditious terramechanics model using a higher-fidelity model, Bayesian inference, and a virtual bevameter test

Negrut

et al. 2023

Preprint

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The soil contact model (SCM) is widely used in practice for off-road wheeled vehicle mobility studies when simulation speed is important and highly accurate results are not a main concern. In practice, the SCM parameters are obtained via a bevameter test, which requires a complex apparatus and experimental procedure. Here, we advance the idea of running a virtual bevameter test using a high-fidelity terramechanics simulation. The latter employs the “continuous representation model” (CRM), which regards the deformable terrain as an elasto-plastic continuum that is spatially discretized using the smoothed particle hydrodynamics (SPH) method. The approach embraced is as follows: a virtual bevameter test is run in simulation using CRM terrain to generate “ground truth” data; in a Bayesian framework, this data is subsequently used to calibrate the SCM terrain. We show that (i) the resulting SCM terrain, while leading to fast terramechanics simulations, serves as a good proxy for the more complex CRM terrain; and (ii) the SCM-over-CRM simulation speedup is roughly one order of magnitude. These conclusions are reached in conjunction with two tests: a single wheel test, and a full rover simulation. The SCM and CRM simulations are run in an open-source software called Chrono. The calibration is performed using PyMC, which is a Python package that interactively communicates with Chrono to calibrate SCM. The models and scripts used in this contribution are available as open source for unfettered use and distribution in a public repository.

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Section: Overview Of the Crm Methodsmentioning

confidence: 99%

Section: Overview Of the Crm Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Calibration of an expeditious terramechanics model using a higher-fidelity model, Bayesian inference, and a virtual bevameter test

Negrut

et al. 2023

Preprint

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Virtual testing of a new conjecture for the stone ascending device in Egyptian pyramids by means of a multibody dynamics simulation

Sarbia

Cirelli

Giannini

et al. 2022

Computer Animation & Virtual

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The ascending of rock blocks for building the Egyptian pyramids has been the topic of many discussions among Egyptologists. One of the authors (F.S.) conjectured a method that could be used for the task. In his own words: “This is the story of the random discovery of an oscillating machine, capable of using gravity to ascend, as the sail goes upwind.” In this article, by means of a virtual prototype and multibody dynamics simulation, the physical feasibility of such method is tested for the first time. From historical and archeological bases, this investigation presents the fundamental functional features of the virtual model components for the ascending of the stones. Furthermore, the methodological details for the model setup, as well as the discussion on the stone ascending movements, are herein addressed. The main results obtained from the simulation include the evaluation of the advancement‐per‐cycle of the conjectured ascending device and the corresponding required driving forces.

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An Efficient SPH Framework for Modeling Binary Granular Mixtures and Implications for Granular Flows

Zhang,

Wu,

et al. 2024

Num Anal Meth Geomechanics

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A two‐way coupling numerical framework based on smoothed particle hydrodynamics (SPH) is developed in this study to model binary granular mixtures consisting of coarse and fine grains. The framework employs updated Lagrangian SPH to simulate fine grains, with particle configurations updated at each time step, and total Lagrangian SPH to efficiently model coarse grains without updated particle configurations. A Riemann solver is utilized to introduce numerical dissipation in fine grains and facilitate their coupling with coarse grains. To enhance computational efficiency, a multiple time‐stepping scheme is initially applied to manage the time integration coupling between coarse and fine grains. Several numerical experiments, including granular column collapse, low‐speed impact craters, and granular flow impacting blocks, are conducted to validate the stability and accuracy of the proposed algorithm. Subsequently, two more complex scenarios involving a soil–rock mixture slope considering irregular coarse particle shapes, and bouldery debris flows on natural terrain, are simulated to showcase the potential engineering applications. Finally, a detailed analysis is performed to evaluate the computational efficiency advantages of the present approach. The findings of this study are consistent with previous experimental and numerical results, and the implementation of a multiple time‐stepping scheme can improve computational efficiency by up to 600%, thereby providing significant advantages for large‐scale engineering simulations.

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Modeling granular material dynamics and its two-way coupling with moving solid bodies using a continuum representation and the SPH method

Cited by 28 publications

References 88 publications

Calibration of an expeditious terramechanics model using a higher-fidelity model, Bayesian inference, and a virtual bevameter test

Calibration of an expeditious terramechanics model using a higher-fidelity model, Bayesian inference, and a virtual bevameter test

Virtual testing of a new conjecture for the stone ascending device in Egyptian pyramids by means of a multibody dynamics simulation

An Efficient SPH Framework for Modeling Binary Granular Mixtures and Implications for Granular Flows

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