二维线性Cosserat弹性的各向异性结构

IF 1 Q4 MECHANICS
N. Auffray, Saad El Ouafa, G. Rosi, B. Desmorat
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引用次数: 0

摘要

. 本文研究了二维线性Cosserat弹性的各向异性结构。对该模型的对称类进行了综合推导和详细说明。特别注意了Cosserat弹性的特殊特征,即对非中心对称和手性的敏感性。这些方面对于将连续统理论应用于晶格和超材料的力学建模是重要的。为了给Cosserat本构律一个参数化,给出了其本构张量的显式调和分解。最后,利用边文中介绍的一种算法,最终得到了一个最小完整基,即生成O(2)个不变多项式代数的多项式不变量的最小集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Anisotropic structure of two-dimensional linear Cosserat elasticity
. In the present contribution the anisotropic structure of the two-dimensional linear Cosserat elasticity is investigated. The symmetry classes of this model are derived and detailed in a synthetic way. Particular attention is paid to specific features of Cosserat Elasticity which are the sensitivity to non-centrosymmetry as well as to chirality. These aspects are important for the application of this continuum theory to the mechanical modelling of lattices and metamaterials. In order to give a parameterisation to the Cosserat constitutive law, an explicit harmonic decomposition of its constitutive tensors is provided. Finally, using an algorithm introduced in a side paper, a minimal integrity basis, which is the minimal set of polynomial invariants generating the algebra of O(2)-invariant polynomials, is finally reported.
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来源期刊
CiteScore
3.00
自引率
5.30%
发文量
11
期刊介绍: MEMOCS is a publication of the International Research Center for the Mathematics and Mechanics of Complex Systems. It publishes articles from diverse scientific fields with a specific emphasis on mechanics. Articles must rely on the application or development of rigorous mathematical methods. The journal intends to foster a multidisciplinary approach to knowledge firmly based on mathematical foundations. It will serve as a forum where scientists from different disciplines meet to share a common, rational vision of science and technology. It intends to support and divulge research whose primary goal is to develop mathematical methods and tools for the study of complexity. The journal will also foster and publish original research in related areas of mathematics of proven applicability, such as variational methods, numerical methods, and optimization techniques. Besides their intrinsic interest, such treatments can become heuristic and epistemological tools for further investigations, and provide methods for deriving predictions from postulated theories. Papers focusing on and clarifying aspects of the history of mathematics and science are also welcome. All methodologies and points of view, if rigorously applied, will be considered.
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