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Chengdong Yuan

Parametric model order reduction of miniaturized energy harvesting modules

Universität Rostock, April 27, 2024

https://doi.org/10.18453/rosdok_id00004752

Abstract: This thesis presents the application of mathematical model order reduction (MOR) and parametric model order reduction (pMOR) methods for generating accurate surrogates of energy harvesters. Differing from conventional non-parametric MOR approaches, multivariate moment matching-, matrix interpolation-, and algebraic parameterization-based pMOR methods are used to construct a parametric reduced-order model (pROM), which enables the preservation of the predefined parameters, e.g., boundary conditions, material properties, or geometrical parameters, in symbolic form within a pROM.

doctoral thesis   free access