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Author: Meinhard Paffrath

Affiliation: CT RDA, SDT MSO-DE, Siemens AG, Otto-Hahn-Ring 4-6, 81739 Munich, Germany

Keyword(s): Model Order Reduction, Dynamical Systems, Interpolation, Nonlinear Heat Conduction.

Abstract: In this paper model order reduction of thermal problems with temperature dependent material parameters is considered. It is assumed that the full thermal problem is set up by a commercial solver where the user has only limited access to internal datastructures. For the full problem an approximation based on matrix interpolation is proposed which is applicable to commercial solvers like Simcenter Thermal Flow where system matrices can be extracted for given temperature fields. Model order reduction for the approximated problem is achieved by POD and DEIM.

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Paper citation in several formats:
Paffrath, M. (2021). Reduced Order Modeling for Thermal Problems with Temperature-dependent Conductivities using Matrix Interpolation. In Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-758-528-9; ISSN 2184-2841, SciTePress, pages 15-20. DOI: 10.5220/0010507900150020

@conference{simultech21,
author={Meinhard Paffrath.},
title={Reduced Order Modeling for Thermal Problems with Temperature-dependent Conductivities using Matrix Interpolation},
booktitle={Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2021},
pages={15-20},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010507900150020},
isbn={978-989-758-528-9},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - Reduced Order Modeling for Thermal Problems with Temperature-dependent Conductivities using Matrix Interpolation
SN - 978-989-758-528-9
IS - 2184-2841
AU - Paffrath, M.
PY - 2021
SP - 15
EP - 20
DO - 10.5220/0010507900150020
PB - SciTePress