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

Shuai Su, Xiurong Yan, Qian Zhang

TL;DR

The paper tackles volumetric locking in nearly incompressible linear elasticity by introducing a parameter-free, locking-free enriched Galerkin method. It enriches the first-order continuous Galerkin space with edge/face-based piecewise constants, enabling a commutative weak gradient/divergence and a stabilized, parameter-free formulation. The authors prove well-posedness and derive error estimates that are independent of the Lamé parameter $λ$, and they show through 2D/3D numerical experiments that the method achieves optimal convergence and oscillation-free stress without post-processing. Compared with other approaches, the method maintains a continuous displacement field with reduced degrees of freedom and demonstrates robustness across compressible and nearly incompressible regimes, with potential for higher-order extensions.

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.

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

TL;DR

The paper tackles volumetric locking in nearly incompressible linear elasticity by introducing a parameter-free, locking-free enriched Galerkin method. It enriches the first-order continuous Galerkin space with edge/face-based piecewise constants, enabling a commutative weak gradient/divergence and a stabilized, parameter-free formulation. The authors prove well-posedness and derive error estimates that are independent of the Lamé parameter , and they show through 2D/3D numerical experiments that the method achieves optimal convergence and oscillation-free stress without post-processing. Compared with other approaches, the method maintains a continuous displacement field with reduced degrees of freedom and demonstrates robustness across compressible and nearly incompressible regimes, with potential for higher-order extensions.

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.

Paper Structure

This paper contains 11 sections, 10 theorems, 79 equations, 6 figures, 3 tables, 1 algorithm.

Key Result

Lemma 1

For any $\bm v \in \bm V_h^0$, there are positive constants $C_1$ and $C_2$ independent of $h$ such that

Figures (6)

  • Figure 1: Example \ref{['Lshaped']}: The mesh of level 0 for the L-shaped domain.
  • Figure 2: Example \ref{['Cook']}: The domain and mesh.
  • Figure 3: Example \ref{['Cook']}: The numerical displacement in nearly incompressible case on mesh of level 5.
  • Figure 4: Example \ref{['Cook']}: The numerical displacement in compressible case on mesh of level 5.
  • Figure 5: Example \ref{['Cook']}: The numerical displacement at (48, 52).
  • ...and 1 more figures

Theorems & Definitions (26)

  • Definition 1
  • Remark 1
  • Lemma 1
  • proof
  • Theorem 1
  • proof
  • Lemma 2
  • proof
  • Lemma 3
  • proof
  • ...and 16 more