Localization of Nonlinearities and Recycling in Dual Domain Decomposition

Andreas S. Seibold, Michael C. Leistner, Daniel J. Rixen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Newton-Krylov domain decomposition methods are well suited for solving nonlinear structural mechanics problems in parallel, especially due to their scalability properties. A Newton-Raphson method in combination with a dual domain decomposition technique, such as a FETI method, takes advantage of the quadratic convergence behaviour of the Newton-Raphson algorithm and the scalabality and high parallelizability of FETI methods. In order to reduce expensive communication between computing cores and thus Newton-iterations, a localization step for nonlinearities was proposed for FETI2, FETI-DP andBDDCsolvers [12, 8].

Original languageEnglish
Title of host publicationDomain Decomposition Methods in Science and Engineering XXV, DD 2018
EditorsRonald Haynes, Scott MacLachlan, Xiao-Chuan Cai, Laurence Halpern, Hyea Hyun Kim, Axel Klawonn, Olof Widlund
PublisherSpringer Science and Business Media Deutschland GmbH
Pages474-482
Number of pages9
ISBN (Print)9783030567491
DOIs
StatePublished - 2020
Event25th International Conference on Domain Decomposition Methods in Science and Engineering, DD 2018 - St. John's, Canada
Duration: 23 Jul 201827 Jul 2018

Publication series

NameLecture Notes in Computational Science and Engineering
Volume138
ISSN (Print)1439-7358
ISSN (Electronic)2197-7100

Conference

Conference25th International Conference on Domain Decomposition Methods in Science and Engineering, DD 2018
Country/TerritoryCanada
CitySt. John's
Period23/07/1827/07/18

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