Stochastic second-gradient continuum theory for particle-based materials: part II

Gabriele La Valle, Christian Soize
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Abstract

This article is the second part of a previous article devoted to the deterministic aspects. Here, we present a comprehensive study on the development and application of a novel stochastic second-gradient continuum model for particle-based materials. An application is presented concerning colloidal crystals. Since we are dealing with particle-based materials, factors such as the topology of contacts, particle sizes, shapes, and geometric structure are not considered. The mechanical properties of the introduced second-gradient continuum are modeled as random fields to account for uncertainties. The stochastic computational model is based on a mixed finite element (FE), and the Monte Carlo (MC) numerical simulation method is used as a stochastic solver. Finally, the resulting stochastic second-gradient model is applied to analyze colloidal crystals, which have wide-ranging applications. The simulations show the effects of second-order gradient on the mechanical response of a colloidal crystal under axial load, for which there could be significant fluctuations in the displacements.

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颗粒材料的随机第二梯度连续理论:第二部分
本文是前一篇文章的第二部分,专门讨论确定性方面的问题。在此,我们全面研究了针对粒子材料的新型随机第二梯度连续模型的开发和应用。本文介绍了有关胶体晶体的应用。由于我们处理的是颗粒基材料,因此没有考虑接触拓扑、颗粒大小、形状和几何结构等因素。引入的第二梯度连续体的机械特性被建模为随机场,以考虑不确定性。随机计算模型基于混合有限元(FE),并使用蒙特卡罗(MC)数值模拟方法作为随机求解器。最后,所得到的随机二梯度模型被应用于分析具有广泛应用的胶体晶体。模拟结果显示了二阶梯度对轴向载荷下胶体晶体机械响应的影响,在这种情况下,位移可能会出现明显的波动。
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