Table of Content

Open Access iconOpen Access

ARTICLE

A Discrete Fourier Transform Framework for Localization Relations

D.T. Fullwood1, S.R. Kalidindi2, B.L. Adams1, S. Ahmadi1

BYU, Provo, UT, U.S.A.
Drexel, Philadelphia, PA, U.S.A

Computers, Materials & Continua 2009, 9(1), 25-40. https://doi.org/10.3970/cmc.2009.009.025

Abstract

Localization relations arise naturally in the formulation of multi-scale models. They facilitate statistical analysis of local phenomena that may contribute to failure related properties. The computational burden of dealing with such relations is high and recent work has focused on spectral methods to provide more efficient models. Issues with the inherent integrations in the framework have led to a tendency towards calibration-based approaches. In this paper a discrete Fourier transform framework is introduced, leading to an extremely efficient basis for the localization relations. Previous issues with the Green's function integrals are resolved, and the method is validated against finite element analysis.

Keywords


Cite This Article

APA Style
Fullwood, D., Kalidindi, S., Adams, B., Ahmadi, S. (2009). A discrete fourier transform framework for localization relations. Computers, Materials & Continua, 9(1), 25-40. https://doi.org/10.3970/cmc.2009.009.025
Vancouver Style
Fullwood D, Kalidindi S, Adams B, Ahmadi S. A discrete fourier transform framework for localization relations. Comput Mater Contin. 2009;9(1):25-40 https://doi.org/10.3970/cmc.2009.009.025
IEEE Style
D. Fullwood, S. Kalidindi, B. Adams, and S. Ahmadi, “A Discrete Fourier Transform Framework for Localization Relations,” Comput. Mater. Contin., vol. 9, no. 1, pp. 25-40, 2009. https://doi.org/10.3970/cmc.2009.009.025



cc Copyright © 2009 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 1710

    View

  • 1255

    Download

  • 0

    Like

Related articles

Share Link