Magneto-viscoelastic laminates in finite shear

IF 2.8 3区 工程技术 Q2 MECHANICS
Matteo Ruggieri , Jacopo Ciambella , Giuseppe Tomassetti , Stephan Rudykh
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引用次数: 0

Abstract

This paper presents a comprehensive theoretical framework for modeling magneto-viscoelastic laminates (MVLs) under both finite and infinitesimal strains. The laminate-based approach preserves explicit information about the material’s internal structure through the orientation of layers, providing a direct link between microstructural architecture and macroscopic properties. By explicitly considering two distinct viscoelastic phases within the laminate, each with its own internal variable and relaxation time, our model captures the complex dynamic behavior observed in experimental studies. The governing equations are first derived for homogeneous strains, and then specialized to both finite and infinitesimal shearing deformation.
有限剪切下的磁粘弹性层合板
本文提出了在有限应变和无穷小应变下对磁粘弹性层合板(MVLs)进行建模的综合理论框架。基于层压的方法通过层的方向保留了关于材料内部结构的明确信息,提供了微观结构和宏观特性之间的直接联系。通过明确考虑层压板内两个不同的粘弹性阶段,每个阶段都有自己的内部变量和松弛时间,我们的模型捕获了实验研究中观察到的复杂动态行为。首先推导了均匀应变的控制方程,然后将其专门用于有限和无穷小剪切变形。
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来源期刊
CiteScore
5.50
自引率
9.40%
发文量
192
审稿时长
67 days
期刊介绍: The International Journal of Non-Linear Mechanics provides a specific medium for dissemination of high-quality research results in the various areas of theoretical, applied, and experimental mechanics of solids, fluids, structures, and systems where the phenomena are inherently non-linear. The journal brings together original results in non-linear problems in elasticity, plasticity, dynamics, vibrations, wave-propagation, rheology, fluid-structure interaction systems, stability, biomechanics, micro- and nano-structures, materials, metamaterials, and in other diverse areas. Papers may be analytical, computational or experimental in nature. Treatments of non-linear differential equations wherein solutions and properties of solutions are emphasized but physical aspects are not adequately relevant, will not be considered for possible publication. Both deterministic and stochastic approaches are fostered. Contributions pertaining to both established and emerging fields are encouraged.
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