简化松弛微形态模型微惯量贡献中的零拉格朗日量。具有应用的理论和计算见解

IF 2.2 3区 工程技术 Q2 MECHANICS Archive of Applied Mechanics Pub Date : 2025-01-20 DOI:10.1007/s00419-024-02709-z
Félix Erel-Demore, Jendrik Voss, Patrizio Neff, Angela Madeo
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引用次数: 0

摘要

本文确定了简化松弛微态模型中的一个零拉格朗日量。我们证明了引入依赖于\(\nabla \dot{u}\)的偏对称部分和宏观位移场u的微惯量并不能丰富简化松弛微形态模型的色散关系。反过来,我们表明可以从完整的微惯量(包含sym \(\nabla \dot{u}\)和skew \(\nabla \dot{u}\)项)切换到减少的微惯量(仅包含sym \(\nabla \dot{u}\)项),而无需任何额外的拟合。这与这样一个事实有关,即引入这样一个偏对称项相当于零拉格朗日量,它在修改边界处的诺伊曼边界条件时保持体响应不变。因此,引入微惯性的偏对称部分,虽然对波色散是多余的,但可能被用来改善有限尺寸机械超材料在均匀化宏观尺度上由于边界效应的响应。
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Null-lagrangians in the micro-inertia contribution of the reduced relaxed micromorphic model. Theoretical and computational insights with applications

This paper identifies a null-Lagrangian in the reduced relaxed micromorphic model. We show that the introduction of a micro-inertia depending on the skew-symmetric part of \(\nabla \dot{u}\) with the macroscopic displacement field u does not enrich the dispersion relations of the reduced relaxed micromorphic model. Reciprocally, we show that one can switch from the full micro-inertia (with both sym\(\nabla \dot{u}\) and skew\(\nabla \dot{u}\) terms) to the reduced micro-inertia (only sym\(\nabla \dot{u}\)) without any additional fitting. This is related to the fact that the introduction of such a skew-symmetric term is equivalent to a null-Lagrangian that leaves the bulk response unchanged while modifying the Neumann boundary conditions at the boundaries. Thus, the introduction of the skew-symmetric part of the micro-inertia, while redundant for wave dispersion, may potentially be used to improve the response of finite-size mechanical metamaterials at the homogenized macroscale due to boundary effects.

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来源期刊
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
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