粒状材料离散元法模拟中库瓦巴拉-科诺力模型的跃迁-韦勒法应用分析

IF 1.7 3区 数学 Q2 MATHEMATICS, APPLIED
Gabriel Nóbrega Bufolo, Yuri Dumaresq Sobral
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引用次数: 0

摘要

离散元素法(DEM)是一种广泛用于模拟颗粒材料的数值技术。这些模拟的时间演化通常采用 Verlet 型算法,因为该算法具有二阶和更好的能量守恒特性。然而,当模型中考虑到耗散力时,如非线性 Kuwabara-Kono 模型,Verlet 方法不再表现为二阶方法,其阶数反而降至 1.5。这是由于 Kuwabara-Kono 模型中阻尼力导数在粒子碰撞开始时的奇异行为造成的。在这项工作中,我们引入了一个简化问题,该问题再现了桑原-科诺模型的奇异性,并证明该方法的阶数从 2 降至 \(1+q\),其中 \(0< q < 1\) 是非线性奇异项的指数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the leapfrog-Verlet method applied to the Kuwabara-Kono force model in discrete element method simulations of granular materials

The discrete element method (DEM) is a numerical technique widely used to simulate granular materials. The temporal evolution of these simulations is often performed using a Verlet-type algorithm, because of its second order and its desirable property of better energy conservation. However, when dissipative forces are considered in the model, such as the nonlinear Kuwabara-Kono model, the Verlet method no longer behaves as a second order method, but instead its order decreases to 1.5. This is caused by the singular behavior of the derivative of the damping force in the Kuwabara-Kono model at the beginning of particle collisions. In this work, we introduce a simplified problem which reproduces the singularity of the Kuwabara-Kono model and prove that the order of the method decreases from 2 to \(1+q\), where \(0< q < 1\) is the exponent of the nonlinear singular term.

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来源期刊
CiteScore
3.00
自引率
5.90%
发文量
68
审稿时长
3 months
期刊介绍: Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis. This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.
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