Skip to content

Releases: redbKIT/redbKIT

redbKIT v2.2

18 Oct 15:23
Compare
Choose a tag to compare
  • New prestress solver in FSI module
  • POD-DEIM reduced-order models for Computational Solid Mechanics problems
  • New problems: FEM_CSM_Spinning, FEM_CerebralAneurysm_C0094, RB_CSMt_Turek, RB_CSM_ShearCube
  • Some bugfix
  • Resistance conditions for CFD simulations
  • SUPG stabilization for ADRt solver (only linear elements are supported)
  • Faster CSM assembly routines
  • Refactoring of the RB_mixer problem; FOM is now built using redbKIT FEM library rather than being loaded from mat file
  • SUPG assembler for steady NS equations
  • Automatic installation scripts for MUMPS sparse linear solver

redbKIT v2.1

13 Jul 18:03
Compare
Choose a tag to compare

Changes only affect the FEM_library and the Problems gallery.
In particular:

  • new monolithic Fluid-Structure Interaction solver built upon the CFD and CSM solvers
  • 3 FSI benchmarks added to the Problems gallery
  • added support for flag-specific Dirichlet BC functions in the CFD solver
  • minor bug fixes plus some cleaning of the CFD and CSM folders in the FEM_Library

redbKIT v2.0

17 Jun 09:28
Compare
Choose a tag to compare

Major refactoring of the FEM_Library:

  • added support for 3D finite elements with unified interface
  • new multi-threaded C assembly routines
  • new fluid and solid mechanics solvers, both steady and unsteady
  • new LinearSolver class with e.g. MUMPS interface
  • new abstract Preconditioner class
  • interface to Metis for domain decomposition; parallel Additive Schwarz preconditioner available
  • interface to FAST package to speed-up matlab built-in sparse command
  • harmonic- and solid-extension mesh motion techniques

Implementation and usage example of MDEIM are now available in the RB_Library.

Many new tests and examples in the Problems directory.

Attention: backward compatibility is not guaranteed

redbKIT v1.0

13 Jun 13:23
Compare
Choose a tag to compare

First release of redbKIT. It contains the implementation of the algorithms and solved problems as presented in the companion book:

A. Quarteroni, A. Manzoni, F. Negri. Reduced Basis Methods for Partial Differential Equations. An Introduction, Unitext, vol. 92. Springer, 2016.