Heterogeneous Multiscale Methods for Fourth-Order Singular Perturbations

We develop a numerical homogenization method for fourth-order singular perturbation problems within the framework of heterogeneous multiscale method. These problems arise from heterogeneous strain gradient elasticity and elasticity models for architectured materials. We establish an error estimate for the homogenized solution applicable to general media and derive an explicit convergence for the locally periodic media with the fine-scale $\varepsilon$. For cell problems of size $δ=\mathbb{N}\varepsilon$, the classical resonance error $\mathcal{O}(\varepsilon/δ)$ can be eliminated due to the dominance of the higher-order operator. Despite the occurrence of boundary layer effects, discretization errors do not necessarily deteriorate for general boundary conditions. Numerical simulations corroborate these theoretical findings.

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Publication Details

Journal
Multiscale Modeling and Simulation
Published
2025-06-24
DOI
https://doi.org/10.1137/24m1686218
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Heterogeneous Multiscale Methods for Fourth-Order Singular Perturbations

Yulei Liao, Pingbing Ming
Multiscale Modeling and Simulation
Advanced Mathematical Modeling in Engineering
article

Heterogeneous Multiscale Methods for Fourth-Order Singular Perturbations

Yulei Liao, Pingbing Ming
article en

Abstract

We develop a numerical homogenization method for fourth-order singular perturbation problems within the framework of heterogeneous multiscale method. These problems arise from heterogeneous strain gradient elasticity and elasticity models for architectured materials. We establish an error estimate for the homogenized solution applicable to general media and derive an explicit convergence for the locally periodic media with the fine-scale $\varepsilon$. For cell problems of size $δ=\mathbb{N}\varepsilon$, the classical resonance error $\mathcal{O}(\varepsilon/δ)$ can be eliminated due to the dominance of the higher-order operator. Despite the occurrence of boundary layer effects, discretization errors do not necessarily deteriorate for general boundary conditions. Numerical simulations corroborate these theoretical findings.

Multiscale Modeling and SimulationVol. 23(2)
National University of Singapore (SG), Academy of Mathematics and Systems Science (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 84%
Advanced Mathematical Modeling in Engineering
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