Online adaptive basis enrichment for mixed CEM-GMsFEM

TL;DR

This paper introduces an online adaptive basis enrichment method for mixed CEM-GMsFEM that accelerates convergence to fine-scale solutions using residual-based oversampling and adjustable parameters.

Contribution

It proposes a novel online enrichment strategy leveraging residuals and oversampling in mixed multiscale finite element methods, enhancing convergence speed.

Findings

Fast convergence to fine-scale solutions demonstrated

Error reduction controlled by oversampling parameters

Numerical results confirm efficiency of the method

Abstract

In this research, an online basis enrichment strategy for the constraint energy minimizing generalized multiscale finite element method in mixed formulation is proposed. The online approach is based on the technique of oversampling. One makes use of the information of residual and the data in the partial differential equation such as the source function. The analysis presented shows that the proposed online enrichment leads to a fast convergence from multiscale approximation to the fine-scale solution. The error reduction can be made sufficiently large by suitably selecting oversampling regions and the number of oversampling layers. Also, the convergence rate of the enrichment can be tuned by a user-defined parameter. Numerical results are provided to illustrate the efficiency of the proposed method.