A Stabilized Finite Element Framework for Incompressible Hyperelastic Materials at Finite Strains: Analysis, Implementation, and Applications

IF 2.9 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Ujwal Warbhe
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引用次数: 0

Abstract

This paper presents a stabilized finite element method (FEM) for incompressible hyperelastic materials at finite strains, addressing the computational and implementational challenges of traditional inf-sup-stable mixed FEMs. By augmenting the weak formulation with Galerkin/Least-Squares (GLS) stabilization terms, the method enables equal-order Lagrange elements ( k / k $$ {\mathbb{P}}_k/{\mathbb{P}}_k $$ ), eliminating the need for complex element pairings like Taylor–Hood ( 2 / 1 $$ {\mathbb{P}}_2/{\mathbb{P}}_1 $$ ). The stabilization parameter is defined as τ = 0 . 1 h 2 μ $$ \tau =0.1\kern0.3em \frac{h^2}{\mu } $$ where h $$ h $$ denotes the finite-element mesh size and μ $$ \mu $$ is the shear modulus; this choice, derived via eigenvalue analysis-ensures robustness against volumetric locking while preserving consistency. The nonlinear system of algebraic equations is solved via a Newton–Raphson scheme with a block-preconditioned GMRES solver, achieving optimal 𝒪 ( h 2 ) displacement convergence rates (comparable to Taylor–Hood elements). Validated on benchmarks including Cook's membrane and a pressurized neo-Hookean cylinder, the method demonstrates optimal 𝒪 ( h 2 ) displacement convergence and less than 2% error in reaction forces compared to Abaqus. It reduces degrees of freedom by 30%–40% and solve times by 35% relative to Taylor–Hood elements, as shown in weak scaling tests. An industrial case study on seal compression under 4 mm displacement highlights its capability to handle contact mechanics and geometric nonlinearities, with pressure oscillations suppressed below 5%. The framework's open-source implementation, combined with its accuracy, efficiency, and robustness under mesh distortion (aspect ratios up to 5:1) and near-incompressibility ( ν = 0 . 499999 $$ \nu =0.499999 $$ ), makes it a versatile tool for engineering applications. Key advancements include a theoretically grounded stabilization strategy, computational efficiency gains, and seamless integration into industrial workflows. The open-source implementation is available at https://github.com/ujwalwarbhe/A-Stabilized-Finite-Element-Framework-for-Incompressible-Hyperelastic-Materials.

有限应变下不可压缩超弹性材料的稳定有限元框架:分析、实现和应用
本文提出了一种有限应变下不可压缩超弹性材料的稳定有限元方法,解决了传统非超稳定混合有限元的计算和实现难题。通过用Galerkin/最小二乘(GLS)稳定化项扩充弱公式,该方法支持等阶拉格朗日元素(k / k $$ {\mathbb{P}}_k/{\mathbb{P}}_k $$)消除了像泰勒-胡德(2 / 1 $$ {\mathbb{P}}_2/{\mathbb{P}}_1 $$)这样复杂的元素配对的需要)。稳定化参数定义为τ = 0。1 h 2 μ $$ \tau =0.1\kern0.3em \frac{h^2}{\mu } $$其中h$$ h $$为有限元网格尺寸,μ $$ \mu $$为剪切模量;通过特征值分析得出的这种选择确保了对体积锁定的稳健性,同时保持了一致性。非线性代数方程组通过Newton-Raphson格式和块预条件GMRES求解器求解,获得最佳的 (h2)位移收敛速率(可与泰勒-胡德单元相媲美)。在Cook膜和加压的新hookean圆柱体上进行了验证,结果表明该方法具有最佳的状态(h2)位移收敛性,且小于2% error in reaction forces compared to Abaqus. It reduces degrees of freedom by 30%–40% and solve times by 35% relative to Taylor–Hood elements, as shown in weak scaling tests. An industrial case study on seal compression under 4 mm displacement highlights its capability to handle contact mechanics and geometric nonlinearities, with pressure oscillations suppressed below 5%. The framework's open-source implementation, combined with its accuracy, efficiency, and robustness under mesh distortion (aspect ratios up to 5:1) and near-incompressibility ( ν = 0 . 499999 $$ \nu =0.499999 $$ ), makes it a versatile tool for engineering applications. Key advancements include a theoretically grounded stabilization strategy, computational efficiency gains, and seamless integration into industrial workflows. The open-source implementation is available at https://github.com/ujwalwarbhe/A-Stabilized-Finite-Element-Framework-for-Incompressible-Hyperelastic-Materials.
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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