Unstructured High-Order Galerkin-Temporal- Boundary Methods for the Klein-Gordon Equation with Non-Reflecting Boundary Conditions

Abstract

A reduced shallow water model under constant, non-zero advection in infinite domains is considered. High-Order Givoli-Neta (G-N) and Hagstrom-Hariharan (H-H) non-reflecting boundary conditions (NRBCs) are introduced to create a finite computational space and solved using a spectral element formulation with high-order time integration. Numerical examples are used to demonstrate the synergy of using high-order spatial, time and boundary discretizations. Several alternatives are also presented for solving open domain problems. These alternatives include adjustments to the G-N NRBC based on physical arguments as well as formulating the boundary condition for arbitrary domains using unstructured grids. The H-H polar NRBC is also formulated in an unstructured grid setting and extended to include dispersive effects. Results show that by balancing all numerical errors involved, high-order accuracy can be achieved for unbounded channel problems. Further, the adjustments to the G-N and H-H NRBCs to operate in an unstructured grid setting are shown to significantly reduce errors over first order non-reflecting boundary schemes when operating in an open domain configuration.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2010
Accession Number
ADA524752

Entities

People

  • Joseph Lindquist

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Applied Mathematics
  • Computational Fluid Dynamics
  • Computational Science
  • Coordinate Systems
  • Differential Equations
  • Euler Equations
  • Finite Element Analysis
  • Fluid Dynamics
  • Geometry
  • Grids
  • Mechanics
  • Numerical Analysis
  • Partial Differential Equations
  • Three Dimensional
  • Two Dimensional
  • Wave Propagation

Fields of Study

  • Physics

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)

Technology Areas

  • Space