首页|Tuning mechanical behaviors of highly entangled hydrogels with the random distribution of mobile entanglements

Tuning mechanical behaviors of highly entangled hydrogels with the random distribution of mobile entanglements

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Highly entangled hydrogels exhibit excellent mechanical properties,includ-ing high toughness,high stretchability,and low hysteresis.By considering the evolu-tion of randomly distributed entanglements within the polymer network upon mechanical stretches,we develop a constitutive theory to describe the large stretch behaviors of these hydrogels.In the theory,we utilize a representative volume element(RVE)in the shape of a cube,within which there exists an averaged chain segment along each edge and a mobile entanglement at each corner.By employing an explicit method,we decouple the elasticity of the hydrogels from the sliding motion of their entanglements,and de-rive the stress-stretch relations for these hydrogels.The present theoretical analysis is in agreement with experiment,and highlights the significant influence of the entanglement distribution within the hydrogels on their elasticity.We also implement the present de-veloped constitutive theory into a commercial finite element software,and the subsequent simulations demonstrate that the exact distribution of entanglements strongly affects the mechanical behaviors of the structures of these hydrogels.Overall,the present theory provides valuable insights into the deformation mechanism of highly entangled hydrogels,and can aid in the design of these hydrogels with enhanced performance.

highly entangled hydrogelconstitutive theoryentanglementgamma dis-tribution

Jinlong LIU、Di LU、Bin CHEN

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Department of Engineering Mechanics,Zhejiang University,Hangzhou 310027,China

Beijing System Design Institute of Electro-Mechanic Engineering,Beijing 100854,China

Intelligent Robotic Research Center,Zhejiang Laboratory,Hangzhou 310027,China

Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province,Hangzhou 311100,China

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Key Research Project of Zhejiang Laboratory国家自然科学基金浙江省自然科学基金

K2022NB0AC0311872334LZ23A020004

2024

应用数学和力学(英文版)
上海大学

应用数学和力学(英文版)

影响因子:0.294
ISSN:0253-4827
年,卷(期):2024.45(2)
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