A mean-strain estimate for plastic particles intended for distinct-particle simulations at high relative density

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
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Abstract

The kinematics of polydisperse granular materials comprised of overlapping spheres is carefully analysed. A single-particle strain estimate is developed that summaries the deformation experienced by each particle in terms of a mean deformation gradient. This strain estimate accounts for material displaced at interparticle contacts as well as a compensatory motion of the free particle surface. Forces that are work-conjugate to the mean deformation gradient are determined; they constitute the many-body forces required for a correct mechanical behaviour in the zero-porosity limit. Notwithstanding this, pairwise interparticle forces are needed for two main reasons; they dominate the particle interactions at small overlaps and stabilise the formulation in the continuum limit. Numerical simulations are performed to demonstrate the properties of the single-particle strain estimate and to test certain aspects of the formulation. In particular, it is demonstrated that the formulation can accommodate large rotations and provides a mechanical response consistent with that of a solid material in the zero-porosity limit. It is concluded that this work forms the basis for future developments aiming at formulation of realistic contact models for plastic particles and macroscopically consistent discrete methods for granular materials.

用于高相对密度下不同粒子模拟的塑料粒子平均应变估算值
对由重叠球体组成的多分散颗粒材料的运动学进行了仔细分析。我们开发了一种单颗粒应变估算方法,它以平均变形梯度的形式总结了每个颗粒所经历的变形。该应变估计值考虑了颗粒间接触处的材料位移以及自由颗粒表面的补偿运动。与平均变形梯度成功的力被确定下来;它们构成了零孔隙极限下正确机械行为所需的多体力。尽管如此,粒子间的成对作用力也是必要的,主要有两个原因:它们在小重叠时主导粒子间的相互作用,并稳定连续极限的公式。我们进行了数值模拟,以证明单粒子应变估算的特性,并对公式的某些方面进行测试。特别是,模拟结果表明,该公式可以容纳较大的旋转,并在零孔隙极限下提供与固体材料一致的机械响应。结论是,这项工作为未来的发展奠定了基础,未来的发展目标是为塑性颗粒制定现实的接触模型,并为颗粒材料制定宏观上一致的离散方法。
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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