Lagrangian basis method for dimensionality reduction of convection dominated nonlinear flows

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Publication:6281987

arXiv1701.04343MaRDI QIDQ6281987

Author name not available (Why is that?)

Publication date: 16 January 2017

Abstract: Foundations of a new projection-based model reduction approach for convection dominated nonlinear fluid flows are summarized. In this method the evolution of the flow is approximated in the Lagrangian frame of reference. Global basis functions are used to approximate both the state and the position of the Lagrangian computational domain. It is demonstrated that in this framework, certain wave-like solutions exhibit low-rank structure and thus, can be efficiently compressed using relatively few global basis. The proposed approach is successfully demonstrated for the reduction of several simple but representative problems.




Has companion code repository: https://github.com/rmojgani/rmojgani








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