DYNAMIC MODE DECOMPOSITION FOR CONSTRUCTION OF REDUCED-ORDER MODELS OF HYPERBOLIC PROBLEMS WITH SHOCKS

نویسندگان

چکیده

Construction of reduced-order models (ROMs) for hyperbolic conservation laws is notoriously challenging mainly due to the translational property and nonlinearity governing equations. While Lagrangian framework ROM construction resolves issue, it valid only before a shock forms. Once that occurs, characteristic lines cross each other projection from high-fidelity model space onto distorts moving grid, resulting in numerical instabilities. We address this grid distortion issue by developing physics-aware dynamic mode decomposition (DMD) method based on hodograph transformation. The latter provides map between original nonlinear system its linear counterpart, which coincides with Koopman operator. This strategy consistent spirit DMDs retains information about dynamics. Several examples are presented validate proposed DMD approach constructing accurate ROMs.

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ژورنال

عنوان ژورنال: Journal of machine learning for modeling and computing

سال: 2021

ISSN: ['2689-3967', '2689-3975']

DOI: https://doi.org/10.1615/jmachlearnmodelcomput.2021036132