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Hyperelastic Behaviour Identification by a Forward problem Resolution: Application to a Tear Test of a Silicone-Rubber

机译:通过正向问题解决方法识别超弹性行为:在硅橡胶的撕裂试验中的应用

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摘要

The mechanical behaviour of synthetic rubbers shows very high deformability, compressibility, time-dependent effect and strain softening. The present study is devoted to the analysis of local mechanical behaviour of silica-filled silicone rubber. New testing and identification are proposed in this paper by using standardised tear test, kinematic field measurements and a numerical inverse problem resolution to investigate localisation strain phenomena. The experimental procedure described hereafter, is based on strain field measurements using digital image processing. In-plane kinematic measurements by the digital image correlation are suitable to analyse non-homogeneous mechanical tests performed especially on thin sheets: indeed, rubber-like materials are characterised by a very high deformability and a non-linear behaviour leading to important gradients of deformation. The identification procedure is conducted in two steps. First, parameters of the viscosity and stress softening (Mullins effect) are evaluated analytically by using axial and biaxial tensile tests. Then, hyperelastic parameters are identified by an inverse resolution based on standardised tear tests. The mechanical model is implemented into the finite element code Zebulon (Transvalor/ENSMP). The numerical model is built up by using informations on geometry and boundary conditions extracted from image sequence that were acquired during the test. Usage of different functions evaluating the distance between computed and experimental quantities (cost functions) in a minimisation process is discussed.
机译:合成橡胶的机械性能显示出极高的可变形性,可压缩性,时效性和应变软化。本研究致力于分析二氧化硅填充硅橡胶的局部力学行为。本文通过使用标准的撕裂试验,运动场测量和数值逆问题解决方案来研究局部应变现象,提出了新的测试和识别方法。下文所述的实验程序基于使用数字图像处理的应变场测量。通过数字图像相关性进行的平面运动学测量适合分析特别是在薄片上执行的非均质机械测试:的确,类橡胶材料的特点是具有很高的可变形性和非线性行为,从而导致重要的变形梯度。识别过程分为两个步骤。首先,通过使用轴向和双轴拉伸试验对粘度和应力软化(穆林效应)的参数进行分析评估。然后,通过基于标准化撕裂测试的反分辨率来识别超弹性参数。机械模型被实现为有限元代码Zebulon(Transvalor / ENSMP)。通过使用从图像序列中提取的关于几何形状和边界条件的信息来建立数值模型,这些信息是在测试期间获取的。讨论了在最小化过程中评估计算量和实验量(成本函数)之间距离的不同函数的用法。

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