4.6 Article

Structure preserving model order reduction of shallow water equations

期刊

出版社

WILEY
DOI: 10.1002/mma.6751

关键词

discrete empirical interpolation; finite-difference methods; linearly implicit methods; preservation of invariants; proper orthogonal decomposition; tensorial proper orthogonal decomposition

资金

  1. 100/2000 Ph.D. Scholarship Program

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In this paper, two different approaches for constructing reduced-order models (ROMs) for the two-dimensional shallow water equation (SWE) are presented. Both approaches maintain the invariants of the SWE and lead to stable solutions, as demonstrated in a numerical test problem. The accuracy and computational efficiency of the reduced solutions are highlighted in the concluding remarks.
In this paper, we present two different approaches for constructing reduced-order models (ROMs) for the two-dimensional shallow water equation (SWE). The first one is based on the noncanonical Hamiltonian/Poisson form of the SWE. After integration in time by the fully implicit average vector field method, ROMs are constructed with proper orthogonal decomposition(POD)/discrete empirical interpolation method that preserves the Hamiltonian structure. In the second approach, the SWE as a partial differential equation with quadratic nonlinearity is integrated in time by the linearly implicit Kahan's method, and ROMs are constructed with the tensorial POD that preserves the linear-quadratic structure of the SWE. We show that in both approaches, the invariants of the SWE such as the energy, enstrophy, mass and circulation are preserved over a long period of time, leading to stable solutions. We conclude by demonstrating the accuracy and the computational efficiency of the reduced solutions by a numerical test problem.

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