The aim of this work is to present a Model Order Reduction (MOR) procedure that is carried out by means of a preprocessing of the snapshots in the offline phase, and to apply it to a Fluid–Structure Interaction (FSI) problem of interest, where the physical domain is two dimensional, the fluid is Newtonian and laminar, and the solid is one dimensional, linear and elastic. This problem exhibits a slow decay of the Kolmogorov n-width: this is reflected, at the numerical level, by a slow decay in the magnitude of the eigenvalues returned by a Proper Orthogonal Decomposition on the solution manifold. By means of a preprocessing procedure, we show how we are able to control the decay of the Kolmogorov n–width of the obtained solution manifold. Th...
The reduced basis method allows to propose accurate approximations for many parameter dependent part...
We present an adaptive reduced-order model for the efficient time-resolved simulation of fluid–struc...
We review various fluid-structure algorithms based on domain decomposition techniques and we propos...
In this work we focus on reduced order modelling for problems for which the resulting reduced basis ...
We present a new model reduction technique for steady fluid-structure interaction problems. When the...
In this paper, we propose a monolithic approach for reduced-order modeling of parametrized fluid-str...
We present a partitioned Model Order Reduction method for multiphysics problems, that is based on a ...
We propose a new model reduction framework for problems that exhibit transport phenomena. As in the ...
The aim of this work is to present an overview about the combination of the Reduced Basis Method (RB...
This is the peer reviewed version of the following article: [ Tello, A, Codina, R, Baiges, J. Fluid ...
We consider model order reduction of parameterized Hamiltonian systems describing nondissipative phe...
This work proposes an adaptive structure-preserving model order reduction method for finite-dimensio...
We consider model order reduction of parameterized Hamiltonian systems describing nondissipative phe...
This report describes work performed from October 2007 through September 2009 under the Sandia Labor...
International audienceThis paper presents a modal reduction method for a fluid-structure interaction...
The reduced basis method allows to propose accurate approximations for many parameter dependent part...
We present an adaptive reduced-order model for the efficient time-resolved simulation of fluid–struc...
We review various fluid-structure algorithms based on domain decomposition techniques and we propos...
In this work we focus on reduced order modelling for problems for which the resulting reduced basis ...
We present a new model reduction technique for steady fluid-structure interaction problems. When the...
In this paper, we propose a monolithic approach for reduced-order modeling of parametrized fluid-str...
We present a partitioned Model Order Reduction method for multiphysics problems, that is based on a ...
We propose a new model reduction framework for problems that exhibit transport phenomena. As in the ...
The aim of this work is to present an overview about the combination of the Reduced Basis Method (RB...
This is the peer reviewed version of the following article: [ Tello, A, Codina, R, Baiges, J. Fluid ...
We consider model order reduction of parameterized Hamiltonian systems describing nondissipative phe...
This work proposes an adaptive structure-preserving model order reduction method for finite-dimensio...
We consider model order reduction of parameterized Hamiltonian systems describing nondissipative phe...
This report describes work performed from October 2007 through September 2009 under the Sandia Labor...
International audienceThis paper presents a modal reduction method for a fluid-structure interaction...
The reduced basis method allows to propose accurate approximations for many parameter dependent part...
We present an adaptive reduced-order model for the efficient time-resolved simulation of fluid–struc...
We review various fluid-structure algorithms based on domain decomposition techniques and we propos...