A fully adaptive nonintrusive reduced-order modelling approach for parametrized time-dependent problems-Reference-Cited by-同舟云学术

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A fully adaptive nonintrusive reduced-order modelling approach for parametrized time-dependent problems

Published:2021-01 Issue: Volume:373 Page:113483
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Alsayyari Fahad,Perkó Zoltán,Tiberga Marco,Kloosterman Jan Leen,Lathouwers Danny

Funder

King Abdulaziz City for Science and Technology

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference38 articles.

1. A survey of model reduction methods for large-scale systems;Antoulas;Contemp. Math.,2001

2. A survey of projection-based model reduction methods for parametric dynamical systems;Benner;SIAM Rev.,2015

3. On two-variable rational interpolation;Antoulas;Linear Algebra Appl.,2012

4. Data-driven reduced model construction with time-domain loewner models;Peherstorfer;SIAM J. Sci. Comput.,2017

5. Dynamic mode decomposition of numerical and experimental data;Schmid;J. Fluid Mech.,2010

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2. Molten salt reactor physics: characterization, neutronic performance, multiphysics coupling, and reduced-order modeling;Molten Salt Reactors and Thorium Energy;2024

3. A novel approach combining bootstrapped non-intrusive reduced order models and unscented transform for the robust and efficient CFD analysis of accidental gas releases in congested plants;Journal of Loss Prevention in the Process Industries;2023-07

4. An Adaptive Non-Intrusive Multi-Fidelity Reduced Basis Method for Parameterized Partial Differential Equations;East Asian Journal on Applied Mathematics;2023-06

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