A smoothed natural neighbour Galerkin method for flexoelectric solids

IF 1.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY International Journal for Multiscale Computational Engineering Pub Date : 2024-08-01 DOI:10.1615/intjmultcompeng.2024053300
Juanjuan Li, Shenjie Zhou
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Abstract

In this paper, a smoothed natural neighbour Galerkin method is developed for modeling flexoelectricity in dielectric solids. The domain integrals in the weak form are implemented on the background Delaunay triangle meshes. Each Delaunay triangle is divided into four sub-domains. In each sub-domain, by introducing the gradient smoothing technique, the rotation gradients, and the electric field gradients can be represented as the first-order gradients of the displacement and the electric potential, respectively. Thus, the continuity requirement for the field variables is reduced from C1 to C0, and the integrals within the sub-domains are converted to the line integrals on the boundary. Then, the field variables are approximated via the non-Sibsonian partition of unity scheme, which enables the direct imposition of the essential boundary conditions. The proposed method is validated through examples with analytical solutions. Results show that the numerical solutions agree well with the analytical solutions.
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柔电固体的平滑自然邻域 Galerkin 方法
本文开发了一种平滑自然邻域 Galerkin 方法,用于电介质固体的挠电建模。弱形式的域积分是在背景 Delaunay 三角网格上实现的。每个 Delaunay 三角形划分为四个子域。在每个子域中,通过引入梯度平滑技术,旋转梯度和电场梯度可分别表示为位移和电动势的一阶梯度。因此,场变量的连续性要求从 C1 降为 C0,子域内的积分转换为边界上的线积分。然后,通过非西布森统一分割方案对场变量进行近似,这样就可以直接施加必要的边界条件。建议的方法通过实例与分析解进行了验证。结果表明,数值解与分析解十分吻合。
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来源期刊
CiteScore
3.40
自引率
14.30%
发文量
44
审稿时长
>12 weeks
期刊介绍: The aim of the journal is to advance the research and practice in diverse areas of Multiscale Computational Science and Engineering. The journal will publish original papers and educational articles of general value to the field that will bridge the gap between modeling, simulation and design of products based on multiscale principles. The scope of the journal includes papers concerned with bridging of physical scales, ranging from the atomic level to full scale products and problems involving multiple physical processes interacting at multiple spatial and temporal scales. The emerging areas of computational nanotechnology and computational biotechnology and computational energy sciences are of particular interest to the journal. The journal is intended to be of interest and use to researchers and practitioners in academic, governmental and industrial communities.
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