期刊
SIAM JOURNAL ON SCIENTIFIC COMPUTING
卷 40, 期 3, 页码 A1322-A1344出版社
SIAM PUBLICATIONS
DOI: 10.1137/17M1140571
关键词
transport phenomena; model reduction; mode decomposition; shifted proper orthogonal decomposition; proper orthogonal decomposition; principal component analysis
资金
- Deutsche Forschungsgemeinschaft (DFG) as part of the collaborative research center [SFB 1029]
Transport-dominated phenomena provide a challenge for common mode-based model reduction approaches. We present a model reduction method, which is suited for these kinds of systems. It extends the proper orthogonal decomposition (POD) by introducing time-dependent shifts of the snapshot matrix. The approach, called shifted proper orthogonal decomposition (sPOD), features a determination of the multiple transport velocities and a separation of these. One-and two-dimensional test examples reveal the good performance of the sPOD for transport-dominated phenomena and its superiority in comparison to the POD.
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