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A framework for model base hyper-elastic material simulation

机译:模型基础超弹性材料仿真框架

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摘要

In this research, a framework for modelling and simulation of hyper-elastic materials is proposed. The framework explains how to employ strain energy functions as a constitutive model, standard loading test data, and a powerful optimisation method to determine a mathematical function for explaining the mechanical behaviour of a hyper-elastic material using minimum types of loading test data. In the first part, a survey on hyper-elastic constitutive models is presented. Fifty models are collected and classified into six categories. Thereafter, five types of standard loading tests including uniaxial, biaxial, equi-biaxial, pure shear, and simple shear are introduced. It is shown that depending on the loading type, physical parameters, Cauchy, and nominal stress tensors, each constitutive model possesses a particular function. The genetic algorithm as a powerful optimisation method is used to determine the most accurate function for each type of loading test data. It is presented that based on the selected constitutive model and regardless of a number of existing loading types test data, a unique function can be determined for expressing and simulating the mechanical behaviour of the considered hyper-elastic material.
机译:本研究提出了一个超弹性材料建模与仿真的框架。该框架解释了如何将应变能函数用作本构模型、标准载荷试验数据,以及一种强大的优化方法,以确定一个数学函数,用最小类型的载荷试验数据解释超弹性材料的力学行为。第一部分介绍了超弹性本构模型的研究概况。收集了50个模型,并将其分为六类。随后,介绍了五种标准荷载试验,包括单轴、双轴、等双轴、纯剪切和简单剪切。结果表明,根据加载类型、物理参数、柯西和名义应力张量,每个本构模型都具有特定的函数。遗传算法作为一种强大的优化方法,用于为每种类型的加载试验数据确定最精确的函数。根据所选的本构模型,无论现有的荷载类型和试验数据如何,都可以确定一个独特的函数来表达和模拟所考虑的超弹性材料的力学行为。

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