Test MethodA new characterisation method for rubber
Introduction
The behaviour of rubber-like materials is generally modelled in the framework of hyperelasticity. Numerous constitutive relations are available in the literature and have recently been compared in the work of Marckmann et al. [1]. However, the identification of the material parameters that govern the constitutive equations is still a difficult task. Classically, three homogeneous tests are considered to identify constitutive parameters, namely uniaxial tensile (UT), pure shear (PS) and equibiaxial tensile (ET) [2], [3], [4]. In practice, the constitutive parameters that are identified with these three types of test differ from one test to another. A trade-off between these three sets of values has to be found to obtain parameters which can be considered as intrinsic. This approach derives from the strong assumption of homogeneity of the kinematic fields induced by each test. Moreover, the sample geometry is different for each homogeneous test.
In the present work, a new approach is developed. It consists of performing only one heterogeneous test, which simultaneously generates the three types of strain states mentioned above as well as the intermediary states. With regard to a recent study by the authors [5], the challenge here resides in using a conventional uniaxial tensile machine to generate a heterogeneous strain state. For this purpose, the sample geometry and loading conditions are defined beforehand by numerical investigations. To generate UT, PS and ET, a new apparatus was designed to be adapted to the uniaxial testing machine. Two specific criteria are defined to discuss the heterogeneity induced by the test. From an experimental point of view, kinematic fields are provided by a Digital Image Correlation (DIC) code suitable for large strains: CORRELILMT [6]. Finally, the constitutive parameters are identified using an inverse method, namely the Virtual Fields Method, which is extended to the case of finite deformations.
Section snippets
Choice of sample geometry and loading conditions
As mentioned above, the aim of the present work is to perform a heterogeneous test that combines UT, PS and ET using a conventional tensile machine. For this purpose, a numerical approach is used to choose the sample geometry and loading conditions, in order to generate sufficient heterogeneity of the kinematic fields. First, criteria used to estimate Test-Induced Heterogeneity (TIH) are defined, and then the kinematic fields obtained from the chosen sample geometry and the applied loading
Experimental set-up
In the previous section, the sample geometry and the loading conditions applied were numerically validated in terms of TIH. Here, this configuration is used to perform the test with a conventional uniaxial testing machine. To impose a biaxial loading condition, a new apparatus was designed and is presented below.
Identification of the material parameters
This section presents the method used to identify the material parameters of a given model from one heterogeneous test. It must be emphasised that no closed-form solution generally exists for such a problem, thereby meaning that no simple relation between local measurements, load, specimen geometry and unknown parameters is available. Extracting constitutive parameters in this case is a major issue which must be tackled using relevant tools. Various methods have been proposed in the literature
Experimental kinematic fields
The biaxial tensile test was carried out by applying a 25 mm displacement along both the x- and y- directions shown in Fig. 2. The corresponding global stretch ratios are respectively 1.71 and 1.42. In order to avoid the well-known phenomenon of stress reduction [23], [24], [25] over the first mechanical cycles, three cycles were first carried out with the same stretch ratio, thereby partially stabilising the mechanical response of the specimen. Images were stored for every 1 mm of prescribed
Conclusions
The aim of the present paper is to propose an alternative to the classic method for identifying the constitutive parameters of rubber. For this purpose, only one heterogeneous test is performed. Sample geometry and loading conditions are chosen using numerical simulations in order to involve UT, PS and ET at the sample surface. The test-induced heterogeneity is discussed in relation to two criteria. To perform the heterogeneous test, a new apparatus was designed and adapted to a conventional
Acknowledgements
The support of this research by the “Agence Nationale pour la Recherche” is gratefully acknowledged (PHOTOFIT project).
Dr Xavier Balandraud is gratefully thanked for his helpful contribution.
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