Title :
A generalized mass lumping technique for vector finite-element solutions of the time-dependent Maxwell equations
Author :
Fisher, Aaron ; Rieben, Robert N. ; Rodrigue, Garry H. ; White, Daniel A.
Author_Institution :
Lawrence Livermore Nat. Lab., Univ. of California, Livermore, CA, USA
Abstract :
Time-domain finite-element solutions of Maxwell´s equations require the solution of a sparse linear system involving the mass matrix at every time step. This process represents the bulk of the computational effort in time-dependent simulations. As such, mass lumping techniques in which the mass matrix is reduced to a diagonal or block-diagonal matrix are very desirable. In this paper, we present a special set of high order 1-form (also known as curl-conforming) basis functions and reduced order integration rules that, together, allow for a dramatic reduction in the number of nonzero entries in a vector finite element mass matrix. The method is derived from the Nedelec curl-conforming polynomial spaces and is valid for arbitrary order hexahedral basis functions for finite-element solutions to the second-order wave equation for the electric (or magnetic) field intensity. We present a numerical eigenvalue convergence analysis of the method and quantify its accuracy and performance via a series of computational experiments.
Keywords :
Maxwell equations; computational electromagnetics; convergence of numerical methods; eigenvalues and eigenfunctions; electromagnetic wave propagation; finite element analysis; higher order statistics; linear systems; sparse matrices; time-domain analysis; wave equations; Maxwell equations; Nedelec curl-conforming polynomial space; block-diagonal matrix; eigenvalue convergence; electric field intensity; electromagnetic propagation; hexahedral basis functions; high order 1-form basis function; mass lumping technique; numerical analysis; second-order wave equation; sparse linear system; time-domain finite-element solutions; Computational modeling; Eigenvalues and eigenfunctions; Finite element methods; Linear systems; Maxwell equations; Partial differential equations; Polynomials; Sparse matrices; Time domain analysis; Vectors; Electromagnetic propagation; Maxwell equations; finite element methods; simulation;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2005.854520