A Nonlocal Biharmonic Model with $Γ$-Convergence to Local Model and an Efficient Numerical Method
Weiye Gan, Tangjun Wang, Qiang Du, Zuoqiang Shi
TL;DR
This work addresses a nonlocal biharmonic equation with clamped boundary data by formulating a nonlocal energy $F_n$ that combines a nonlocal Laplacian term with a boundary penalty, and it proves $F_n$ converges in the $\Gamma$-sense to the local biharmonic energy $F$ as the horizon $\delta\to0$. It establishes well-posedness (existence and uniqueness) of minimizers for $F_n$, verifies $F_n\stackrel{\Gamma}{\longrightarrow}F$ in $L^2(\Omega)$, and proves convergence of minimizers, under kernels $K,R,\tilde{R}$ and horizon/penalty parameters with $\delta_n\to0$, $\xi_n\to0$, and $\delta_n^2/\xi_n\to0$. An efficient finite element method exploiting Gaussian kernel separability is developed, achieving first-order convergence to the local model, and numerical experiments in 1D and 2D validate the theoretical results and reveal boundary-penalty effects. Collectively, the results provide a rigorous bridge between nonlocal higher-order models and local biharmonic theory, with practical, scalable computation for applied elasticity and related areas.
Abstract
Nonlocal models and their associated theories have been extensively investigated in recent years. Among these, nonlocal versions of the classical Laplace operator have attracted the most attention, while higher-order nonlocal operators have been studied far less. In this work, we focus on the nonlocal counterpart of the classical biharmonic operator together with the clamped boundary condition ($u$ and $\frac{\partial u}{\partial n}$ are given on the boundary). We develop the variational formulation of a nonlocal biharmonic model, establish the existence and uniqueness of its solution, and analyze its convergence as the nonlocal horizon approaches zero. In addition, we propose an efficient finite element method to solve the nonlocal model and the numerical results verify the analytical properties of the nonlocal model and its solution.
