An adaptive finite element DtN method for the three-dimensional acoustic scattering problem
Gang Bao, Mingming Zhang, Bin Hu, and Peijun Li

TL;DR
This paper develops an adaptive finite element method with a truncated Dirichlet-to-Neumann operator for 3D acoustic scattering, providing error estimates and demonstrating efficiency through numerical experiments.
Contribution
It introduces an a posteriori error estimate for the truncated DtN-based finite element method and develops an adaptive algorithm for 3D acoustic scattering problems.
Findings
Error estimate shows exponential decay of truncation error
Adaptive method effectively refines mesh based on error estimates
Numerical results confirm the method's efficiency and accuracy
Abstract
This paper is concerned with a numerical solution of the acoustic scattering by a bounded impenetrable obstacle in three dimensions. The obstacle scattering problem is formulated as a boundary value problem in a bounded domain by using a Dirichlet-to-Neumann (DtN) operator. An a posteriori error estimate is derived for the finite element method with the truncated DtN operator. The a posteriori error estimate consists of the finite element approximation error and the truncation error of the DtN operator, where the latter is shown to decay exponentially with respect to the truncation parameter. Based on the a posteriori error estimate, an adaptive finite element method is developed for the obstacle scattering problem. The truncation parameter is determined by the truncation error of the DtN operator and the mesh elements for local refinement are marked through the finite element…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNumerical methods in engineering · Electromagnetic Simulation and Numerical Methods · Numerical methods in inverse problems
