The surrogate matrix methodology: Low-cost assembly for isogeometric analysis
Abstract
A new methodology in isogeometric analysis (IGA) is presented. This methodology delivers low-cost variable-scale approximations (surrogates) of the matrices which IGA conventionally requires to be computed from element-scale quadrature formulas. To generate surrogate matrices, quadrature must only be performed on certain elements in the computational domain. This, in turn, determines only a subset of the entries in the final matrix. The remaining matrix entries are computed by a simple B-spline interpolation procedure. Poisson's equation, membrane vibration, plate bending, and Stokes' flow problems are studied. In these problems, the use of surrogate matrices has a negligible impact on solution accuracy. Because only a small fraction of the original quadrature must be performed, we are able to report beyond a fifty-fold reduction in overall assembly time in the same software. The capacity for even further speed-ups is clearly demonstrated. The implementation used here was achieved by a small number of modifications to the open-source IGA software library GeoPDEs. Similar modifications could be made to other present-day software libraries.
Cite
@article{arxiv.1904.06971,
title = {The surrogate matrix methodology: Low-cost assembly for isogeometric analysis},
author = {Daniel Drzisga and Brendan Keith and Barbara Wohlmuth},
journal= {arXiv preprint arXiv:1904.06971},
year = {2020}
}