SIAM Journal on Numerical Analysis
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
Electrostatics and heat conduction in high contrast composite materials
Journal of Computational Physics
Analysis of a fast fourier transform based method for modeling of heterogeneous materials
LSSC'11 Proceedings of the 8th international conference on Large-Scale Scientific Computing
Advances in Engineering Software
A two-scale micromechanical model for aluminium foam based on results from nanoindentation
Computers and Structures
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In this short note, we present a new technique to accelerate the convergence of a FFT-based solver for numerical homogenization of complex periodic media proposed by Moulinec and Suquet [1]. The approach proceeds from discretization of the governing integral equation by the trigonometric collocation method due to Vainikko [2], to give a linear system which can be efficiently solved by conjugate gradient methods. Computational experiments confirm robustness of the algorithm with respect to its internal parameters and demonstrate significant increase of the convergence rate for problems with high-contrast coefficients at a low overhead per iteration.