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一种由热塑性聚氨酯制成的新型仿生梯度负泊松比符号切换超材料的动态压缩行为

Dynamic Compressive Behavior of a Novel Bioinspired Gradient Negative Poisson's Ratio Sign-Switching Metamaterial Made of Thermoplastic Polyurethane.

作者信息

Guan Yiting, Luo Xing, Cao Weidong, Du Xiao, Du Mingkun, Zhou Zhiwei, Cao Xiaofei

机构信息

Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics, Department of Engineering Mechanics, School of Physics and Mechanics, Wuhan University of Technology, Wuhan 430070, China.

Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China.

出版信息

Polymers (Basel). 2025 Apr 26;17(9):1181. doi: 10.3390/polym17091181.

Abstract

Inspired by Scylla serrata, a novel thermoplastic polyurethane (TPU) negative Poisson's ratio sign-switching metamaterial is proposed, and the corresponding original and gradient structures (i.e., OPSM and GPSM) are created. Numerical simulation is utilized to simulate the quasi-static and dynamic compression behavior of the proposed structures considering the rate-dependent properties, elastoplastic response, and nonlinear contact. The neo-Hookean hyperelastic constitutive model and the Prony series are adopted to model the target structures. Finite element results are validated through experimental results. Parametric studies are conducted to study the effects of gradient characteristics and loading velocities on the mechanical behavior and Poisson's ratio of the structures. Testing results indicate that the proposed novel bioinspired structure patterns exhibit fascinating mechanical behavior and interesting negative Poisson's ratio sign-switching characteristics, which would provide the design guidance for the development and application of bioinspired structural materials.

摘要

受锯缘青蟹启发,提出了一种新型热塑性聚氨酯(TPU)负泊松比符号切换超材料,并创建了相应的原始结构和梯度结构(即OPSM和GPSM)。考虑到率相关特性、弹塑性响应和非线性接触,利用数值模拟来模拟所提出结构的准静态和动态压缩行为。采用新胡克超弹性本构模型和Prony级数对目标结构进行建模。通过实验结果验证了有限元结果。进行了参数研究,以研究梯度特性和加载速度对结构力学行为和泊松比的影响。测试结果表明,所提出的新型仿生结构模式表现出迷人的力学行为和有趣的负泊松比符号切换特性,这将为仿生结构材料的开发和应用提供设计指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c0c/12074191/dbbb3d611a6c/polymers-17-01181-g001.jpg

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