Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Analysis And Optimization Of Robin-Robin Partitioned Procedures In Fluid-Structure Interaction Problems
 
research article

Analysis And Optimization Of Robin-Robin Partitioned Procedures In Fluid-Structure Interaction Problems

Gerardo-Giorda, Luca
•
Nobile, Fabio  
•
Vergara, Christian
2010
Siam Journal On Numerical Analysis

In the solution of fluid-structure interaction (FSI) problems, partitioned procedures are modular algorithms that involve separate fluid and structure solvers that interact in an iterative framework through the exchange of suitable transmission conditions at the FS interface. In this work we study, using Fourier analysis, the convergence of partitioned algorithms based on Robin transmission conditions. We derive, for different models of the fluid and the structure, a frequency-dependent reduction factor at each iteration of the partitioned algorithm, which is minimized by choosing optimal values of the coefficients in the Robin transmission conditions. Two-dimensional numerical results are also reported, which highlight the effectiveness of the optimization procedure.

  • Files
  • Details
  • Metrics
Type
research article
DOI
10.1137/09076605X
Author(s)
Gerardo-Giorda, Luca
Nobile, Fabio  
Vergara, Christian
Date Issued

2010

Publisher

Society for Industrial and Applied Mathematics

Published in
Siam Journal On Numerical Analysis
Volume

48

Issue

6

Start page

2091

End page

2116

Subjects

fluid-structure interaction

•

Robin conditions

•

Fourier analysis

•

optimized Schwartz methods

•

Incompressible Viscous Flows

•

Schwarz Methods

•

Algorithms

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
CSQI  
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/79587
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés