A model order reduction technique is combined with an embedded boundary finite element method with a POD-Galerkin strategy. The proposed methodology is applied to parametrized heat transfer problems and we rely on a sufficiently refined shape-regular background mesh to account for parametrized geometries. In particular, the employed embedded boundary element method is the Shifted Boundary Method (SBM), recently proposed in Main and Scovazzi, J Comput Phys [17]. This approach is based on the idea of shifting the location of true boundary conditions to a surrogate boundary, with the goal of avoiding cut cells near the boundary of the computational domain. This combination of methodologies has multiple advantages. In the first p...
We propose a new embedded/immersed framework for computational solid mechanics, aimed at vastly spee...
The trade-off between solution accuracy and computational burden is fundamental in numerical simulat...
Computation Fluid Dynamics (CFD) simulation has become a routine design tool for i) predicting accur...
A model order reduction technique is combined with an embedded boundary finite element met...
We propose a model order reduction technique integrating the Shifted Boundary Method (SBM) with a PO...
The Shifted Boundary Method (SBM) is an approximate domain method for boundary value problems, in th...
This work presents a reduced order modeling technique built on a high fidelity embedded mesh finite ...
In this work, we present an approach for the efficient treatment of parametrized geometries in the c...
We investigate a projection-based reduced order model of the steady incompressible Navier–Stokes equ...
Reduction strategies, such as model order reduction (MOR) or reduced basis (RB) methods, in scientif...
We present an extension of the shifted boundary method to simulate partial differential equations wi...
In this chapter we consider Reduced Basis (RB) approximations of parametrized Partial Differential E...
The purpose of Reduced‐Order Modelling (ROM) is to substantially lower the computational cost of num...
Abstract. In this paper we discuss parametrized partial differential equations (P2DEs) for parameter...
We propose a new embedded/immersed framework for computational solid mechanics, aimed at vastly spee...
The trade-off between solution accuracy and computational burden is fundamental in numerical simulat...
Computation Fluid Dynamics (CFD) simulation has become a routine design tool for i) predicting accur...
A model order reduction technique is combined with an embedded boundary finite element met...
We propose a model order reduction technique integrating the Shifted Boundary Method (SBM) with a PO...
The Shifted Boundary Method (SBM) is an approximate domain method for boundary value problems, in th...
This work presents a reduced order modeling technique built on a high fidelity embedded mesh finite ...
In this work, we present an approach for the efficient treatment of parametrized geometries in the c...
We investigate a projection-based reduced order model of the steady incompressible Navier–Stokes equ...
Reduction strategies, such as model order reduction (MOR) or reduced basis (RB) methods, in scientif...
We present an extension of the shifted boundary method to simulate partial differential equations wi...
In this chapter we consider Reduced Basis (RB) approximations of parametrized Partial Differential E...
The purpose of Reduced‐Order Modelling (ROM) is to substantially lower the computational cost of num...
Abstract. In this paper we discuss parametrized partial differential equations (P2DEs) for parameter...
We propose a new embedded/immersed framework for computational solid mechanics, aimed at vastly spee...
The trade-off between solution accuracy and computational burden is fundamental in numerical simulat...
Computation Fluid Dynamics (CFD) simulation has become a routine design tool for i) predicting accur...