各向同性超弹性材料模型研究进展

IF 3.4 Q1 ENGINEERING, MECHANICAL
Stephen K. Melly, Liwu Liu, Yanju Liu, Jinsong Leng
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引用次数: 24

摘要

许多超弹性模型已经被制定出来,并且在理解表现出超弹性行为(以完全可恢复的大非线性弹性变形为特征)的材料(如弹性体、聚合物甚至生物组织)的复杂力学行为方面非常方便。这些模型在复杂工程部件的设计中是必不可少的,例如汽车和航空航天工业中的发动机支架和结构轴承,以及机械系统中的隔振器和减震器。特别是,机械系统动力学中的振动控制问题非常重要,因此,精确的超弹性模型知识有助于优化设计和开发三维有限元系统动力学,以研究大的非线性变形行为。本综述工作旨在提高15种最常用的超弹性模型的知识,从而帮助设计工程师和科学家做出正确使用的明智决定。给出了任意加载和单轴拉伸、等双轴拉伸和纯剪切三种加载模式下任一加载模式下的应变能函数和柯西应力的表达式。将模型预测结果在不同加载模式下的应力-应变或应力-拉伸图与经典实验数据进行了对比,并利用决定系数作为模型预测能力的衡量指标。最后,基于模型以最小偏差预测各荷载模式的能力和总体确定系数,提出了一种排序方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A review on material models for isotropic hyperelasticity

A review on material models for isotropic hyperelasticity

Dozens of hyperelastic models have been formulated and have been extremely handy in understanding the complex mechanical behavior of materials that exhibit hyperelastic behavior (characterized by large nonlinear elastic deformations that are completely recoverable) such as elastomers, polymers, and even biological tissues. These models are indispensable in the design of complex engineering components such as engine mounts and structural bearings in the automotive and aerospace industries and vibration isolators and shock absorbers in mechanical systems. Particularly, the problem of vibration control in mechanical system dynamics is extremely important and, therefore, knowledge of accurate hyperelastic models facilitates optimum designs and the development of three-dimensional finite element system dynamics for studying the large and nonlinear deformation behavior. This review work intends to enhance the knowledge of 15 of the most commonly used hyperelastic models and consequently help design engineers and scientists make informed decisions on the right ones to use. For each of the models, expressions for the strain-energy function and the Cauchy stress for both arbitrary loading assuming compressibility and each of the three loading modes (uniaxial tension, equibiaxial tension, and pure shear) assuming incompressibility are provided. Furthermore, the stress–strain or stress–stretch plots of the model's predictions in each of the loading modes are compared with that of the classical experimental data of Treloar and the coefficient of determination is utilized as a measure of the model's predictive ability. Lastly, a ranking scheme is proposed based on the model's ability to predict each of the loading modes with minimum deviations and the overall coefficient of determination.

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