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A new approach for
rubber numerical modeling under biaxial testing conditions
thorough finite element simulation
Debora Francisco Lalo and Marcelo Greco |
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Vol. 17 (2022), No. 4, 319–342
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Abstract |
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The framework of this study is to develop a methodology based on digital image correlation (DIC) applied in biaxial straining under large deformations to calibrate the rubber computational modeling by the finite element method (FEM). Since the material approaches incompressibility, different shape functions were adopted to describe the fields of pressure and displacements according to the finite element hybrid formulation. Biaxial experiments were performed in a cruciform machine and the applied methodology was validated through a classical bulge test. Despite the low biaxiality degree, reasonable results were obtained to nominal strain levels higher than 300%, with the proposed methodology. A new method for obtaining the nominal stress-strain relationship was proposed using Abaqus software. The validation was conducted by numerical simulations and biaxial extension experiments. |
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Keywords
elastomers, hyperelastic models, biaxial extension, digital
image correlation
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Milestones
Received: 10 September 2021
Revised: 7 February 2022
Accepted: 22 March 2022
Published: 18 February 2023
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Authors |
| Debora Francisco Lalo | |
| School of Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil |
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| Marcelo Greco | |
| School of Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil |
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