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Parametrized Local Reduced-Order Models With Compressed Projection Basis for Fast Parameter-Dependent Finite-Element Analysis
Abstract
This paper proposes an automated parametric local model-order reduction scheme for the expedited design of microwave devices using the full-wave finite-element method (FEM). The approach proposed here results in parameterized reduced-order models (ROMs) that account for the geometry and material variation in the selected subregion of the structure. In each subregion, a parameter-dependent projection basis is generated by concatenating several local bases that correspond to different parameter values, yielding a small, dense ROM. The process is automated and uses an adaptive scheme guided by a local goal-oriented error estimator to select points in the parameter space at which a local basis needs to be computed. A two-stage basis compression technique is also proposed to remove the redundancy from the projection basis and yields compact macromodels. Numerical examples, including FE analysis of a fifth-order filter with seven geometric variables as parameters, demonstrate that the approach provides a significant reduction in computational time while preserving the accuracy of the simulations.
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Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
no. 66,
edition 8,
pages 3656 - 3667,
ISSN: 0018-9480 - Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Mul M., Fotyga G., Lamęcki A., Mrozowski M.: Parametrized Local Reduced-Order Models With Compressed Projection Basis for Fast Parameter-Dependent Finite-Element Analysis// IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES. -Vol. 66, iss. 8 (2018), s.3656-3667
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/tmtt.2018.2842744
- Verified by:
- Gdańsk University of Technology
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