Granular Element Method for Computational Particle Mechanics
Granular Element Method for Computational Particle Mechanics
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DOI：
10.1016/j.cma.2012.06.012
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发表时间：
2012-10
影响因子：
7.2
通讯作者：
J. Andrade;K. Lim;C. Ávila;I. Vlahinić
中科院分区：
文献类型：
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作者：
J. Andrade;K. Lim;C. Ávila;I. Vlahinić
提出了一种离散单元法(DEM)中的非均匀有理基样条(NURBS)精确捕捉颗粒形状的方法。这种被称为GEM的新方法，通过允许离散元素采用工程和科学中遇到的真实而复杂的颗粒形状(例如沙粒)，绕过了目前颗粒材料计算离散力学中的瓶颈之一。除了一种新的方法，本文还提出了一种新的DEM概念：使用NURBS从先进的可视化工具(如X射线CT)无缝过渡到基于物理的计算模型，其中粒子形状被逼真地建模。预计，随着计算能力的快速发展，将高保真表征与基于物理的计算相结合将导致更具预测性的建模方法。颗粒单元法可能有助于从定性到建模的过渡，并可能导致在颗粒尺度上进行更现实的预测。
This paper presents a method within the family of the discrete element method (DEM) capable of accurately capturing grain shape by using Non-Uniform Rational Basis-Splines (NURBS). The new method, called GEM, bypasses one of the current bottlenecks in computational discrete mechanics of granular materials by allowing discrete elements to take realistic and complex granular shapes encountered in engineering and science (e.g., sand grains). More than a new method, this paper presents a new concept for DEM: using NURBS to seamlessly transition from advanced visualization tools (e.g., X-ray CT) to physics-based computational models where particle shape is realistically modeled. It is expected that, with the rapid advancement of computational power, combining high-fidelity characterization with physics-based computations will lead to more predictive modeling approaches. The granular element method may help transition from characterization to modeling and could lead to more realistic predictions at the grain scale.