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通过不稳定性设计的仿生多相软复合材料及其在声学超材料中的应用

Auxetic multiphase soft composite material design through instabilities with application for acoustic metamaterials.

机构信息

Faculty of Aerospace Engineering, Technion - Israel Institute of Technology, Haifa 32000, Israel.

出版信息

Soft Matter. 2018 Aug 1;14(30):6171-6180. doi: 10.1039/c8sm00874d.

Abstract

We investigate the instability-induced pattern transformations in 3D-printed soft composites consisting of stiff inclusions and voids periodically distributed in a soft matrix. These soft auxetic composites are prone to elastic instabilities giving rise to negative Poisson's ratio (NPR) behavior. Upon reaching the instability point, the composite microstructure rearranges into a new morphology attaining an NPR regime. Remarkably, identical composites can morph into distinct patterns depending on the loading direction. These fully determined instability-induced distinct patterns are characterized by significantly different NPR behaviors, thus, giving rise to enhanced tunability of the composite properties. Finally, we illustrate a potential application of these reversible pattern transformations as tunable acoustic-elastic metamaterials capable of selectively filtering low frequency ranges controlled by deformation.

摘要

我们研究了由硬夹杂和周期性分布在软基体中的空隙组成的 3D 打印软复合材料中的不稳定性诱导的图案转变。这些软各向异性复合材料容易发生弹性失稳,从而产生负泊松比(NPR)行为。当达到不稳定性点时,复合材料的微观结构重新排列成新的形态,达到 NPR 区域。值得注意的是,相同的复合材料可以根据加载方向形成不同的形态。这些完全确定的由不稳定性引起的不同图案具有显著不同的 NPR 行为,从而增强了复合材料性能的可调谐性。最后,我们说明了这些可逆图案转变作为可调谐声弹性超材料的潜在应用,这些超材料能够选择性地过滤由变形控制的低频范围。

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