An efficient adaptive frequency sampling scheme for large-scale transient boundary element analysis
Numerical Analysis
2016-02-09 v1
Abstract
The frequency-domain approach (FDA) to transient analysis of the boundary element method, although is appealing for engineering applications, is computationally expensive. This paper proposes a novel adaptive frequency sampling (AFS) algorithm to reduce the computational time of the FDA by effectively reducing the number Nc of sampling frequencies. The AFS starts with a few initial frequencies and automatically determines the subsequent sampling frequencies. It can reduce Nc by more than 2 times while still preserving good accuracy. In a porous solid model with around 0.3 million unknowns, 4 times reduction of Nc and the total computational time is successfully achieved.
Cite
@article{arxiv.1511.04355,
title = {An efficient adaptive frequency sampling scheme for large-scale transient boundary element analysis},
author = {Jinyou Xiao and Junjie Rong and Wenjing Ye and Chuanzeng Zhang},
journal= {arXiv preprint arXiv:1511.04355},
year = {2016}
}