A posteriori error analysis of a robust virtual element method for stress-assisted diffusion problems
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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866918354612125696 |
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| author | Dassi, Franco Khot, Rekha Rubiano, Andres E. Ruiz-Baier, Ricardo |
| author_facet | Dassi, Franco Khot, Rekha Rubiano, Andres E. Ruiz-Baier, Ricardo |
| contents | We develop and analyse residual-based a posteriori error estimates for the virtual element discretisation of a nonlinear stress-assisted diffusion problem in two and three dimensions. The model problem involves a two-way coupling between elasticity and diffusion equations in perturbed saddle-point form. A robust global inf-sup condition and Helmholtz decomposition for $\mathbf{H}(\mathrm{div}, Ω)$ lead to a reliable and efficient error estimator based on appropriately weighted norms that ensure parameter robustness. The a posteriori error analysis uses quasi-interpolation operators for Stokes and edge virtual element spaces, and we include the proofs of such operators with estimates in 3D for completeness. Finally, we present numerical experiments in both 2D and 3D to demonstrate the optimal performance of the proposed error estimator. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2504_00648 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A posteriori error analysis of a robust virtual element method for stress-assisted diffusion problems Dassi, Franco Khot, Rekha Rubiano, Andres E. Ruiz-Baier, Ricardo Numerical Analysis 65N30, 65N12, 65N15, 74F25 We develop and analyse residual-based a posteriori error estimates for the virtual element discretisation of a nonlinear stress-assisted diffusion problem in two and three dimensions. The model problem involves a two-way coupling between elasticity and diffusion equations in perturbed saddle-point form. A robust global inf-sup condition and Helmholtz decomposition for $\mathbf{H}(\mathrm{div}, Ω)$ lead to a reliable and efficient error estimator based on appropriately weighted norms that ensure parameter robustness. The a posteriori error analysis uses quasi-interpolation operators for Stokes and edge virtual element spaces, and we include the proofs of such operators with estimates in 3D for completeness. Finally, we present numerical experiments in both 2D and 3D to demonstrate the optimal performance of the proposed error estimator. |
| title | A posteriori error analysis of a robust virtual element method for stress-assisted diffusion problems |
| topic | Numerical Analysis 65N30, 65N12, 65N15, 74F25 |
| url | https://arxiv.org/abs/2504.00648 |