This paper aims to develop an automated domain decomposition strategy that is based on the presence of nonlinear field grading material, in the context of model order reduction for transient strongly nonlinear electro-quasistatic (EQS) field problems.
The paper provides convincing empirical insights to support the proposed domain decomposition algorithm, a numerical investigation of the performance of the algorithm for different snapshots and model order reduction experiments.
The proposed method successfully decomposes the computational domain, while the resulting reduced models are highly accurate. Further, the algorithm is computationally efficient and robust, while it can be embedded in black-box model reduction implementations.
This paper fulfills the demand to effectively perform model order reduction for transient strongly nonlinear EQS field problems.
The authors acknowledge the support of the German Research Foundation (Deutsche Forschungsgemeinschaft) under grant no. CL143/10-2.
Kasolis, F. and Clemens, M. (2019), "Model order reducibility of nonlinear electro-quasistatic problems", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 38 No. 5, pp. 1453-1464. https://doi.org/10.1108/COMPEL-12-2018-0519
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