Variational multiscale enrichment method for dynamic response of hyperelastic materials at finite deformation
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arXiv
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| Natura: | Preprint |
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2025
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| _version_ | 1866912715376689152 |
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| author | Arora, Abhishek Oskay, Caglar |
| author_facet | Arora, Abhishek Oskay, Caglar |
| contents | In this manuscript, we extend the variational multiscale enrichment (VME) method to model the dynamic response of hyperelastic materials undergoing large deformations. This approach enables the simulation of wave propagation under scale-inseparable conditions, including short-wavelength regimes, while accounting for material and geometric nonlinearities that lead to wave steepening or flattening. By employing an additive decomposition of the displacement field, we derive multiscale governing equations for the coarse- and fine-scale problems, which naturally incorporate micro-inertial effects. The framework allows the discretization of each unit cell with a patch of coarse-scale elements, which is essential to accurately capture wave propagation in short-wavelength regimes. An operator-split procedure is used to iteratively solve the semi-discrete equations at both scales until convergence is achieved. The coarse-scale problem is integrated explicitly, while the fine-scale problem is solved using either explicit or implicit time integration schemes, including both dissipative and non-dissipative methods. Numerical examples demonstrate that multiscale dissipative schemes effectively suppress spurious oscillations. The multiscale framework was applied to investigate how material and geometric nonlinearities, along with elastic stiffness contrast in heterogeneous microstructures, influence key wave characteristics such as dispersion, attenuation, and steepening. This multiscale computational framework provides a foundation for studying the dynamic response of architected materials. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2511_13723 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Variational multiscale enrichment method for dynamic response of hyperelastic materials at finite deformation Arora, Abhishek Oskay, Caglar Computational Engineering, Finance, and Science Materials Science In this manuscript, we extend the variational multiscale enrichment (VME) method to model the dynamic response of hyperelastic materials undergoing large deformations. This approach enables the simulation of wave propagation under scale-inseparable conditions, including short-wavelength regimes, while accounting for material and geometric nonlinearities that lead to wave steepening or flattening. By employing an additive decomposition of the displacement field, we derive multiscale governing equations for the coarse- and fine-scale problems, which naturally incorporate micro-inertial effects. The framework allows the discretization of each unit cell with a patch of coarse-scale elements, which is essential to accurately capture wave propagation in short-wavelength regimes. An operator-split procedure is used to iteratively solve the semi-discrete equations at both scales until convergence is achieved. The coarse-scale problem is integrated explicitly, while the fine-scale problem is solved using either explicit or implicit time integration schemes, including both dissipative and non-dissipative methods. Numerical examples demonstrate that multiscale dissipative schemes effectively suppress spurious oscillations. The multiscale framework was applied to investigate how material and geometric nonlinearities, along with elastic stiffness contrast in heterogeneous microstructures, influence key wave characteristics such as dispersion, attenuation, and steepening. This multiscale computational framework provides a foundation for studying the dynamic response of architected materials. |
| title | Variational multiscale enrichment method for dynamic response of hyperelastic materials at finite deformation |
| topic | Computational Engineering, Finance, and Science Materials Science |
| url | https://arxiv.org/abs/2511.13723 |