Higher-order modal transformation for reduced-order modeling of linear systems undergoing global parametric variations
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Publication:6555284
DOI10.1002/nme.5905zbMATH Open1540.76173MaRDI QIDQ6555284
Publication date: 14 June 2024
Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)
linear systemsfrequency-domaincomputational fluid dynamicsparameter variationhigher-order transformationparametric reduced-order model
Dynamical systems in fluid mechanics, oceanography and meteorology (37N10) Basic methods in fluid mechanics (76M99) Numerical methods for ordinary differential equations (65L99) Numerical problems in dynamical systems (65P99)
Cites Work
- Gradient-enhanced surrogate modeling based on proper orthogonal decomposition
- Surrogate model reduction for linear dynamic systems based on a frequency domain modal analysis
- A low-cost, goal-oriented ‘compact proper orthogonal decomposition’ basis for model reduction of static systems
- An adaptive and efficient greedy procedure for the optimal training of parametric reduced-order models
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