Online adaptive basis refinement and compression for reduced-order models via vector-space sieving

In many applications, projection-based reduced-order models (ROMs) have demonstrated the ability to provide rapid approximate solutions to high-fidelity full-order models (FOMs). However, there is no a priori assurance that these approximate solutions are accurate; their accuracy depends on the abil...

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Veröffentlicht in:	Computer methods in applied mechanics and engineering 2020-06, Vol.364 (C), p.112931, Article 112931
Hauptverfasser:	Etter, Philip A., Carlberg, Kevin T.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive coarsening Adaptive refinement Adjoint error estimation Algorithms Compressing Dual-weighted residual ENGINEERING Enrichment Forecasting Model reduction Proper Orthogonal Decomposition Reduced order models Training
Online-Zugang:	Volltext
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