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Forum: New: FullSWOF_2D with an adaptative mesh refinement

Posted by: Frédéric Darboux
Date: 2015-12-08 09:58
Summary: New: FullSWOF_2D with an adaptative mesh refinement
Project: FullSWOF_2D


Dear FullSWOF enthusiats,

We are pleased to announce that a team from the Technische Universität München and the Durham University has coupled their adaptative mesh refinement software with FullSWOF_2D.

This brings new capabilities to FullSWOF_2D, including a higher computer efficiency.

Preview of the paper:

Contact: Philipp Neumann (<>)

The mesh refinement software is names Peanoclaw and can be downloaded from <>. Documentation is available at <>

Happy flow computing!

Frédéric Darboux,
For the FullSWOF development team.

  Title                    = {Recent Trends in Computational Engineering - CE2014.
Optimization, Uncertainty, Parallel Algorithms, Coupled and Complex Problems},
  Author                   = {K. Unterweger and R. Wittmann and P. Neumann and T. Weinzierl and H.-J. Bungartz},
  Chapter                  = {Integration of FULLSWOF2D and PeanoClaw: Adaptivity and Local Time-Stepping for Complex Overland Flows},
  Editor                   = {Mehl, Miriam and Bischoff, Manfred and Schäfer, Michael},
  Pages                    = {185--195},
  Publisher                = {Springer},
  Year                     = {2015},
  Series                   = {Lecture Notes in Computational Science and Engineering},
  Volume                   = {105},
  Abstract                 = {We propose to couple our adaptive mesh refinement software PeanoClaw
with existing solvers for complex overland flows that are tailored to regular Carte-
sian meshes. This allows us to augment them with spatial adaptivity and local time-
stepping without altering the computational kernels. FullSWOF2D—Full Shallow
Water Overland Flows—here is our software of choice though all paradigms hold
for other solvers as well. We validate our hybrid simulation software in an artifi-
cial test scenario before we provide results for a large-scale flooding scenario of
the Mecca region. The latter demonstrates that our coupling approach enables the
simulation of complex “real-world” scenarios.}

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