A novel parameter-free and locking-free enriched Galerkin method for linear elasticity

We propose a novel parameter-free and locking-free enriched Galerkin (EG) method for solving the linear elasticity problem in both two and three dimensions. Unlike existing locking-free EG methods, our method enriches the first-order continuous Galerkin (CG) space with piecewise constants along edges in two dimensions or faces in three dimensions. This enrichment acts as a correction to the normal component of the CG space, ensuring the locking-free property and delivering an oscillation-free stress approximation without requiring post-processing. Our theoretical analysis establishes the well-posedness of the method and derives optimal error estimates. Numerical experiments further demonstrate the accuracy, efficiency, and robustness of the proposed method.

Publication Details

Journal
ArXiv.org
Published
2025-05-23
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
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article

A novel parameter-free and locking-free enriched Galerkin method for linear elasticity

ArXiv.org
Advanced Numerical Methods in Computational Mathematics
article

A novel parameter-free and locking-free enriched Galerkin method for linear elasticity

article en

Abstract

We propose a novel parameter-free and locking-free enriched Galerkin (EG) method for solving the linear elasticity problem in both two and three dimensions. Unlike existing locking-free EG methods, our method enriches the first-order continuous Galerkin (CG) space with piecewise constants along edges in two dimensions or faces in three dimensions. This enrichment acts as a correction to the normal component of the CG space, ensuring the locking-free property and delivering an oscillation-free stress approximation without requiring post-processing. Our theoretical analysis establishes the well-posedness of the method and derives optimal error estimates. Numerical experiments further demonstrate the accuracy, efficiency, and robustness of the proposed method.

ArXiv.org
National Natural Science Foundation of China
Openalex Percentile: Top 48%
Advanced Numerical Methods in Computational Mathematics
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A novel parameter-free and locking-free enriched Galerkin method for linear elasticity · ArXiv.org (2025) | TGRS Research Map | TGRS