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首页> 外文期刊>Journal of Computational and Applied Mathematics >Some aspects of adaptive grid technology related to boundary and interior layers
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Some aspects of adaptive grid technology related to boundary and interior layers

机译:与边界层和内部层有关的自适应网格技术的某些方面

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摘要

We consider the use of adaptive mesh strategies for solution of problems exhibiting boundary and interior layer solutions. As the presence of these layer structures suggests, reliable and accurate solution of this class of problems using finite difference, finite volume or finite element schemes requires grading the mesh into the layers and due attention to the associated algorithms. When the nature and structure of the layer is known, mesh grading can be achieved during the grid generation by specifying an appropriate grading function. However, in many applications the location and nature of the layer behavior is not known in advance. Consequently, adaptive mesh techniques that employ feedback from intermediate grid solutions are an appealing approach. In this paper, we provide a brief overview of the main adaptive grid strategies in the context of problems with layers. Associated error indicators that guide the refinement feedback control/grid optimization process are also covered and there is a brief commentary on the supporting data structure requirements. Some current issues concerning the use of stabilization in conjunction with adaptive mesh refinement (AMR), the question of "pollution effects" in computation of local error indicators, the influence of nonlinearities and the design of meshes for targeted optimization of specific quantities are considered. The application of AMR for layer problems is illustrated by means of case studies from semiconductor device transport (drift diffusion), nonlinear reaction–diffusion, layers due to surface capillary effects, and shockwaves in compressible gas dynamics.
机译:我们考虑使用自适应网格策略来解决显示边界和内层解决方案的问题。正如这些层结构的存在所暗示的那样,使用有限差分,有限体积或有限元方案可靠,准确地解决此类问题需要将网格划分为层,并应注意相关算法。当已知层的性质和结构时,可以通过指定适当的渐变函数在网格生成过程中实现网格渐变。然而,在许多应用中,层行为的位置和性质是事先未知的。因此,采用来自中间网格解决方案的反馈的自适应网格技术是一种有吸引力的方法。在本文中,我们简要介绍了层问题中的主要自适应网格策略。还涵盖了指导完善反馈控制/网格优化过程的相关错误指示符,并对支持的数据结构要求进行了简要说明。考虑了一些当前的问题,这些问题涉及将稳定与自适应网格细化(AMR)结合使用,局部误差指标计算中的“污染效应”问题,非线性的影响以及针对特定数量的目标优化的网格设计。通过案例研究,从半导体器件传输(漂移扩散),非线性反应-扩散,由于表面毛细管效应而产生的层以及可压缩气体动力学中的冲击波等案例研究,说明了AMR在层问题中的应用。

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