An efficient and robust method for parameterized nonintrusive reduced-order modeling

DOI10.1002/NME.6461zbMATH Open1548.76114MaRDI QIDQ6553433

Ann H. Muggeridge, Wawrzyniec Kostorz, Matthew D. Jackson

Publication date: 11 June 2024

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

zbMATH Keywords

time integrationadvection-diffusion equationfluidsexplicit

Mathematics Subject Classification ID

Flows in porous media; filtration; seepage (76S05) Finite element methods applied to problems in fluid mechanics (76M10) Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65M99)

Cites Work

• Efficient global optimization of expensive black-box functions
• Non-intrusive reduced order modeling of nonlinear problems using neural networks
• A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting
• Error estimation of the parametric non-intrusive reduced order model using machine learning
• Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem
• Non-intrusive subdomain POD-TPWL for reservoir history matching
• Non-intrusive reduced order modelling of fluid-structure interactions
• Non‐intrusive reduced‐order modelling of the Navier–Stokes equations based on RBF interpolation
• Randomized dynamic mode decomposition for nonintrusive reduced order modelling

Related Items (1)

Non-intrusive reduced order modeling: geometrical framework, high-order models, and a priori analysis of applicability

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