A posteriori error estimates for a $$C^1$$ virtual element method applied to the thin plate vibration problem.

Abstract We propose and analyse residual-based a posteriori error estimates for the virtual element discretisation applied to the thin plate vibration problem in both two and three dimensions. Our approach involves a conforming $$C^1$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>C</mml:mi> <mml:mn>1</mml:mn> </mml:msup> </mml:math> discrete formulation suitable for meshes composed of polygons and polyhedra. The reliability and efficiency of the error estimator are established through a dimension-independent proof. Finally, several numerical experiments are reported to demonstrate the optimal performance of the method in 2D and 3D.

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Publication Details

Journal
Advances in Computational Mathematics
Published
2026-02-23
DOI
https://doi.org/10.1007/s10444-026-10288-6
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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article

A posteriori error estimates for a $$C^1$$ virtual element method applied to the thin plate vibration problem.

Franco Dassi, Andrés E. Rubiano, Iván Velásquez
Advances in Computational Mathematics
Advanced Numerical Methods in Computational Mathematics
article

A posteriori error estimates for a $$C^1$$ virtual element method applied to the thin plate vibration problem.

Franco Dassi, Andrés E. Rubiano, Iván Velásquez
article en

Abstract

Abstract We propose and analyse residual-based a posteriori error estimates for the virtual element discretisation applied to the thin plate vibration problem in both two and three dimensions. Our approach involves a conforming $$C^1$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>C</mml:mi> <mml:mn>1</mml:mn> </mml:msup> </mml:math> discrete formulation suitable for meshes composed of polygons and polyhedra. The reliability and efficiency of the error estimator are established through a dimension-independent proof. Finally, several numerical experiments are reported to demonstrate the optimal performance of the method in 2D and 3D.

Advances in Computational MathematicsVol. 52(2)
Military University Nueva Granada (CO), Monash University (AU), University of Milano-Bicocca (IT)
Universidad Militar Nueva Granada
Openalex Percentile: Top 43%
Advanced Numerical Methods in Computational Mathematics
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