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Title: PetIGA-MF: A multi-field high-performance toolbox for structure-preserving B-splines spaces

Journal Article · · Journal of Computational Science
 [1];  [2];  [3];  [4]; ORCiD logo [5];  [6]
  1. King Abdullah Univ. of Science and Technology (KAUST), Thuwal, (Saudi Arabia)
  2. Federal Univ. of the State of Rio de Janeiro (Brazil)
  3. Basque Center for Applied Mathematics, Bilbao (Spain)
  4. King Abdullah Univ. of Science and Technology (KAUST), Thuwal, (Saudi Arabia); Univ. Nacional del Litoral, Santa Fe (Argentina)
  5. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  6. Curtin Univ., Perth, WA (Australia); Commonwealth Scientific and Industrial Research Organization (CSIRO), Kensington WA (Australia)

We describe the development of a high-performance solution framework for isogeometric discrete differential forms based on B-splines: PetIGA-MF. Built on top of PetIGA, PetIGA-MF is a general multi-field discretization tool. To test the capabilities of our implementation, we solve different viscous flow problems such as Darcy, Stokes, Brinkman, and Navier-Stokes equations. Several convergence benchmarks based on manufactured solutions are presented assuring optimal convergence rates of the approximations, showing the accuracy and robustness of our solver.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1429197
Journal Information:
Journal of Computational Science, Vol. 18, Issue C; ISSN 1877-7503
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 25 works
Citation information provided by
Web of Science

References (24)

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PetIGA: A framework for high-performance isogeometric analysis journal August 2016
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Cited By (4)

Immersogeometric Analysis of Bioprosthetic Heart Valves, Using the Dynamic Augmented Lagrangian Method book January 2018
A geometric multigrid method for isogeometric compatible discretizations of the generalized Stokes and Oseen problems: A geometric multigrid method for isogeometric compatible discretizations of the generalized Stokes and Oseen problems journal January 2018
Dispersion-optimized quadrature rules for isogeometric analysis: Modified inner products, their dispersion properties, and optimally blended schemes journal June 2017
Refined isogeometric analysis for generalized Hermitian eigenproblems journal August 2021

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