A non-intrusive data-driven reduced order model for parametrized CFD-DEM numerical simulations
DOI10.1016/J.JCP.2023.112355arXiv2302.12625OpenAlexW4384207911MaRDI QIDQ6095091
Francesco Romanò, Gianluigi Rozza, Andrea Beccari, Arash Hajisharifi, Domenico Bonanni, Michele Girfoglio
Publication date: 27 November 2023
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2302.12625
Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Numerical methods for partial differential equations, boundary value problems (65Nxx) Approximations and expansions (41Axx)
Cites Work
- A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs
- Solution of the implicitly discretized fluid flow equations by operator- splitting
- Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders
- The finite volume method in computational fluid dynamics. An advanced introduction with OpenFOAM and Matlab
- Model reduction of parametrized systems. Selected contributions based on the presentations at the MoRePaS conference, SISSA, Trieste, Italy, October 13--16, 2015
- A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
- Certified Reduced Basis Methods for Parametrized Partial Differential Equations
- Certified Reduced Basis Methods for Parametrized Distributed Elliptic Optimal Control Problems with Control Constraints
- Radial Basis Functions
- Mechanisms for particle transfer and segregation in a turbulent boundary layer
- Interface topology and evolution of particle patterns on deformable drops in turbulence
- Free-form deformation, mesh morphing and reduced-order methods: enablers for efficient aerodynamic shape optimisation
- System- and Data-Driven Methods and Algorithms
- Data-driven reduced order modelling for patient-specific hemodynamics of coronary artery bypass grafts with physical and geometrical parameters
This page was built for publication: A non-intrusive data-driven reduced order model for parametrized CFD-DEM numerical simulations