3-D impulse-based level-set method for granular flow modeling

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2024-06-06 DOI:10.1002/nme.7546
Peng Tan, Hasitha S. Wijesuriya, Nicholas Sitar
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Abstract

We explore the viability of modeling dynamic problems with a new formulation of an impulse-based Level-Set DEM (LS-DEM). The new formulation is stable, fast, and energy conservative. However, it can be numerically stiff when the assembly has substantial mass differences between particles. We also demonstrate the feasibility of modeling deformable structures in a rigid body framework and propose several enhancements to improve the convergence of collision resolution, including a hybrid time integration scheme to separately handle at rest contacts and dynamic collisions. Finally, we extend the impulse-based LS-DEM to include arbitrarily shaped topographic surfaces and exploit its algorithmic advantages to demonstrate the feasibility of modeling realistic behavior of granular flows. The new formulation significantly improves the performance of dynamic simulations by allowing larger time steps, which is advantageous for observing the full development of physical phenomena such as rock avalanches, which we present as an illustrative example.

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用于颗粒流建模的基于脉冲的三维水平集方法
我们探索了利用基于脉冲的水平集 DEM(LS-DEM)新公式对动态问题建模的可行性。新公式稳定、快速、能量守恒。然而,当装配体之间的颗粒质量相差很大时,它在数值上可能会比较僵硬。我们还证明了在刚体框架中对可变形结构进行建模的可行性,并提出了几项改进措施来提高碰撞分辨率的收敛性,包括采用混合时间积分方案来分别处理静止接触和动态碰撞。最后,我们将基于脉冲的 LS-DEM 扩展到任意形状的地形表面,并利用其算法优势证明了对颗粒流的现实行为进行建模的可行性。新公式允许更大的时间步长,从而大大提高了动态模拟的性能,这对于观察岩石崩塌等物理现象的全面发展非常有利。
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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