TY - JOUR
T1 - Dynamically adaptive Lattice Boltzmann simulation of shallow water flows with the Peano framework
AU - Neumann, Philipp
AU - Bungartz, Hans-Joachim
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): UK-C0020
Acknowledgements: This publication is based on work supported by Award No. UK-C0020, made by King Abdullah University of Science and Technology (KAUST). It was supported (in part) by the German Research Foundation (DFG) through the Priority Programme 1648 “Software for Exascale Computing” (SPPEXA).
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2015/9
Y1 - 2015/9
N2 - © 2014 Elsevier Inc. All rights reserved. We present a dynamically adaptive Lattice Boltzmann (LB) implementation for solving the shallow water equations (SWEs). Our implementation extends an existing LB component of the Peano framework. We revise the modular design with respect to the incorporation of new simulation aspects and LB models. The basic SWE-LB implementation is validated in different breaking dam scenarios. We further provide a numerical study on stability of the MRT collision operator used in our simulations.
AB - © 2014 Elsevier Inc. All rights reserved. We present a dynamically adaptive Lattice Boltzmann (LB) implementation for solving the shallow water equations (SWEs). Our implementation extends an existing LB component of the Peano framework. We revise the modular design with respect to the incorporation of new simulation aspects and LB models. The basic SWE-LB implementation is validated in different breaking dam scenarios. We further provide a numerical study on stability of the MRT collision operator used in our simulations.
UR - http://hdl.handle.net/10754/598034
UR - https://linkinghub.elsevier.com/retrieve/pii/S0096300314014155
UR - http://www.scopus.com/inward/record.url?scp=84942988101&partnerID=8YFLogxK
U2 - 10.1016/j.amc.2014.10.049
DO - 10.1016/j.amc.2014.10.049
M3 - Article
SN - 0096-3003
VL - 267
SP - 795
EP - 804
JO - Applied Mathematics and Computation
JF - Applied Mathematics and Computation
ER -