多孔介质理论的网中元方法

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
S. Maike, J. Schröder, J. Bluhm, T. Ricken
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引用次数: 0

摘要

直接均质化方法(如 FE 方法)受限于尺度分离假设,而 "网格-元素"(MIEL)方法则基于一种强尺度耦合方法,该方法以有限元素离散化为基础。在本文中,我们在多孔介质理论(TPM)框架内提出了一种双尺度 MIEL 方案。这项工作是在 A. Ibrahimbegovic、R.L. Taylor、D. Markovic、H.G. Matthies、R. Niekamp(按字母顺序排列)等人的工作基础上对 MIEL 方法的进一步发展。Niekamp(按字母顺序排列)的著作为基础;在这些著作中,我们可以找到具有非弹性构成行为的异质结构多尺度建模的物理、数学以及软件耦合实施方面的内容,例如,参见 [Eng Comput, 2005; 22(5-6):664-683.] 和 [Eng Comput, 2009; 26(1/2):6-28.]。本文提供了 TPM 的必要理论基础,并阐述了 MIEL 方法中算法实现的特点。通过有代表性的数值示例对它们的融合进行了研究,以评估这种方法的特点并确定其应用范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A mesh-in-element method for the theory of porous media

While direct homogenisation approaches such as the FE 2 $$ {}^2 $$ method are subject to the assumption of scale separation, the mesh-in-element (MIEL) approach is based on an approach with strong scale coupling, which is based on a discretization with finite elements. In this contribution we propose a two-scale MIEL scheme in the framework of the theory of porous media (TPM). This work is a further development of the MIEL method which is based on the works of the authors A. Ibrahimbegovic, R.L. Taylor, D. Markovic, H.G. Matthies, R. Niekamp (in alphabetical order); where we find the physical and mathematical as well as the software coupling implementation aspects of the multi-scale modeling of heterogeneous structures with inelastic constitutive behaviour, see for example, [Eng Comput, 2005;22(5-6):664-683.] and [Eng Comput, 2009;26(1/2):6-28.]. Within the scope of this contribution, the necessary theoretical foundations of TPM are provided and the special features of the algorithmic implementation in the context of the MIEL method are worked out. Their fusion is investigated in representative numerical examples to evaluate the characteristics of this approach and to determine its range of application.

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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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