Reduced order modelling for unsteady fluid flow using proper orthogonal decomposition and radial basis functions
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Publication:1791460
DOI10.1016/j.apm.2013.04.025zbMath1426.76576OpenAlexW2001393175WikidataQ55924342 ScholiaQ55924342MaRDI QIDQ1791460
Publication date: 10 October 2018
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2013.04.025
interpolationproper orthogonal decompositionradial basis functionsunsteady fluid flowreduced order modellingparameterised problems
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Uses Software
Cites Work
- Steady supersonic flow-field predictions using proper orthogonal decomposition technique
- Note on the POD-based time interpolation from successive PIV images
- A method to generate computationally efficient reduced order models
- Applications of multi-POD to a pitching and plunging airfoil
- Acceleration techniques for reduced-order models based on proper orthogonal decomposition
- Optimal control of the cylinder wake in the laminar regime by trust-region methods and POD reduced-order models
- Reduced-order fluid/structure modeling of a complete aircraft configuration
- Stable Galerkin reduced-order models for linearized compressible flow
- Real-time optimization using proper orthogonal decomposition: free surface shape prediction due to underwater bubble dynamics
- Projection methods for reduced-order models of compressible flows.
- An Arnoldi approach for generation of reduced-order models for turbomachinery.
- Model reduction for compressible flows using POD and Galerkin projection
- An algorithm for selecting a good value for the parameter \(c\) in radial basis function interpolation
- POD and CVT-based reduced-order modeling of Navier-Stokes flows
- Parameterised electromagnetic scattering solutions for a range of incident wave angles
- The method of proper orthogonal decomposition for dynamical characterization and order reduction of mechanical systems: an overview
- Fast dynamic grid deformation based on Delaunay graph mapping
- Investigation of an adaptive sampling method for data interpolation using radial basis functions
- A method for time accurate turbulent compressible fluid flow simulation with moving boundary components employing local remeshing
- Nonlinear system identification using radial basis functions
- Interpolation among reduced‐order matrices to obtain parameterized models for design, optimization and probabilistic analysis
- A POD reduced-order 4D-Var adaptive mesh ocean modelling approach
- Scattered Data Interpolation: Tests of Some Method
- A multigrid accelerated time‐accurate inviscid compressible fluid flow solution algorithm employing mesh movement and local remeshing
- Application of proper orthogonal decomposition to the discrete Euler equations
- Modeling and control of physical processes using proper orthogonal decomposition
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