An optimisation-based domain-decomposition reduced order model for parameter-dependent non-stationary fluid dynamics problems
From MaRDI portal
Publication:6549892
DOI10.1016/j.camwa.2024.05.004MaRDI QIDQ6549892
Davide Torlo, Ivan Prusak, Gianluigi Rozza, Monica Nonino
Publication date: 4 June 2024
Published in: Computers & Mathematics with Applications (Search for Journal in Brave)
optimal controldomain decompositionproper orthogonal decompositioncomputational fluid dynamicsreduced order modellingPOD-NN
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Reduced order methods for modeling and computational reduction
- Approximation of the Stokes-Darcy system by optimization
- Reduced basis method for multi-parameter-dependent steady Navier-Stokes equations: applications to natural convection in a cavity
- Acceleration of conjugate gradient algorithms for unconstrained optimization
- A domain decomposition method for optimization problems for partial differential equations
- Finite volume POD-Galerkin stabilised reduced order methods for the parametrised incompressible Navier-Stokes equations
- Non-intrusive reduced order modeling of nonlinear problems using neural networks
- Model order reduction for parametrized nonlinear hyperbolic problems as an application to uncertainty quantification
- Domain decomposition methods in optimal control of partial differential equations
- An optimization based domain decomposition method for partial differential equations
- Fluid-structure interactions. Models, analysis and finite elements
- Model order reduction strategies for weakly dispersive waves
- The neural network shifted-proper orthogonal decomposition: a machine learning approach for non-linear reduction of hyperbolic equations
- POD-Galerkin model order reduction for parametrized nonlinear time-dependent optimal flow control: an application to shallow water equations
- POD-Galerkin model order reduction for parametrized time dependent linear quadratic optimal control problems in saddle point formulation
- Stabilized reduced basis methods for parametrized steady Stokes and Navier-Stokes equations
- A weighted POD-reduction approach for parametrized PDE-constrained optimal control problems with random inputs and applications to environmental sciences
- A reduced order variational multiscale approach for turbulent flows
- A weighted POD method for elliptic PDEs with random inputs
- A decoupling algorithm for fluid-structure interaction problems based on optimization
- A global-in-time domain decomposition method for the coupled nonlinear Stokes and Darcy flows
- A reduced order modeling method based on GNAT-embedded hybrid snapshot simulation
- Supremizer stabilization of POD-Galerkin approximation of parametrized steady incompressible Navier-Stokes equations
- Robin Based Semi-Implicit Coupling in Fluid-Structure Interaction: Stability Analysis and Numerics
- Model Reduction for Parametrized Optimal Control Problems in Environmental Marine Sciences and Engineering
- A Modified BFGS Algorithm for Unconstrained Optimization
- An Optimization-Based Domain Decomposition Method for the Navier--Stokes Equations
- Model Reduction and Approximation
- Stabilized Weighted Reduced Basis Methods for Parametrized Advection Dominated Problems with Random Inputs
- Reduced-Order Semi-Implicit Schemes for Fluid-Structure Interaction Problems
- Convergence Properties of the BFGS Algoritm
- A Limited Memory Algorithm for Bound Constrained Optimization
- Certified Reduced Basis Methods for Parametrized Saddle Point Problems
- Analysis of a Fluid-Structure Interaction Problem Recast in an Optimal Control Setting
- New efficient boundary conditions for incompressible Navier-Stokes equations : a well-posedness result
- Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier–Stokes equations with model order reduction
- Reduced basis methods for Stokes equations in domains with non-affine parameter dependence
- Consistency of the full and reduced order models for evolve‐filter‐relax regularization of convection‐dominated, marginally‐resolved flows
- An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations
- Non-linear manifold reduced-order models with convolutional autoencoders and reduced over-collocation method
This page was built for publication: An optimisation-based domain-decomposition reduced order model for parameter-dependent non-stationary fluid dynamics problems