Magnetohydrodynamics adaptive solvers in the AMROC framework for space plasma applications
Magnetohydrodynamics adaptive solvers in the AMROC framework for space plasma applications
Plasma disturbances affect satellites and spacecraft and can cause serious problems to telecommunications and sensitive sensor systems on Earth. Considering the huge scale of the plasma phenomena, data collection at individual locations is not sufficient to cover this entire relevant environment. Therefore, computational plasma modelling has become a significant issue for space sciences, particularly for the near-Earth magnetosphere. However, the simulations of these disturbances present many physical as well as numerical and computational challenges. In this work, we discuss our recent magnetohydrodynamic solver, realised within the MPI-parallel AMROC (Adaptive Mesh Refinement in Object-oriented C++) framework, in which particular physical models and automatic mesh generation procedures have been implemented. A performance analysis using a selection of significant space applications validates the solvers capabilities and confirms the technical importance of our approach.
93-122
Moreira Souza Lopes, Muller
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Domingues, Margarete O.
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Deiterding, Ralf
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Mendes, Odim
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2021
Moreira Souza Lopes, Muller
ac3efdac-469b-4129-a236-6693ce7ee5ee
Domingues, Margarete O.
393cd03f-2ee9-482c-9c72-1988aef9b05f
Deiterding, Ralf
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Mendes, Odim
1a4cca69-9c5b-4b00-ab25-e85450116b7b
Moreira Souza Lopes, Muller, Domingues, Margarete O., Deiterding, Ralf and Mendes, Odim
(2021)
Magnetohydrodynamics adaptive solvers in the AMROC framework for space plasma applications.
In,
Deiterding, Ralf, Domingues, Margarete and Schneider, Kai
(eds.)
SEMA SIMAI Springer Series: thematic mini-symposium contributions from ICIAM 2019.
(SEMA SIMAI Springer Series, 3)
International Congress on Industrial and Applied Mathematics (15/07/19 - 19/07/19)
Cham.
Springer, .
(doi:10.1007/978-3-030-61761-5_5).
Record type:
Book Section
Abstract
Plasma disturbances affect satellites and spacecraft and can cause serious problems to telecommunications and sensitive sensor systems on Earth. Considering the huge scale of the plasma phenomena, data collection at individual locations is not sufficient to cover this entire relevant environment. Therefore, computational plasma modelling has become a significant issue for space sciences, particularly for the near-Earth magnetosphere. However, the simulations of these disturbances present many physical as well as numerical and computational challenges. In this work, we discuss our recent magnetohydrodynamic solver, realised within the MPI-parallel AMROC (Adaptive Mesh Refinement in Object-oriented C++) framework, in which particular physical models and automatic mesh generation procedures have been implemented. A performance analysis using a selection of significant space applications validates the solvers capabilities and confirms the technical importance of our approach.
Text
CFDMETHODS_005_final_v3
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More information
Accepted/In Press date: 29 May 2020
e-pub ahead of print date: 7 November 2020
Published date: 2021
Additional Information:
Funding Information:
Acknowledgments The authors thank the FAPESP (grants: 2018/03039-9, 2015/ 25624-2), CNPq (grants: 424352/2018-4, 302226/2018-4, 307083/2017-9, 306038/2015-3) and FINEP (grant: 0112052700) for financial support of this research. MML thanks CNPq (grant: 140626/2014-0) for his doctorate and CAPES (grant: 88882.463276/2019-01) for his post-doctorate scholarship. We are indebted to Eng. V. E. Menconi for his invaluable computational assistance, to M. Sierra-Lorenzo and A. K. F. Gomes for the fruitful discussions, and to Prof. Ogino for the MHD code and scientific discussions that inspired our magnetosphere implementation. We also thank the teams of World Data Center for Geomagnetism, Kyoto, for the geomagnetic indices dataset, and the OMNI web service, NASA, for access to the interplanetary dataset.
Publisher Copyright:
© 2020, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Venue - Dates:
International Congress on Industrial and Applied Mathematics, , Valencia, Spain, 2019-07-15 - 2019-07-19
Identifiers
Local EPrints ID: 441320
URI: http://eprints.soton.ac.uk/id/eprint/441320
ISSN: 2199-3041
PURE UUID: 4148967d-9b8a-4118-b19f-a0b8fb2f2de0
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Date deposited: 09 Jun 2020 16:31
Last modified: 17 Mar 2024 05:37
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Contributors
Author:
Muller Moreira Souza Lopes
Author:
Margarete O. Domingues
Author:
Odim Mendes
Editor:
Ralf Deiterding
Editor:
Margarete Domingues
Editor:
Kai Schneider
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