Federica Laurino
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Federica Laurino has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Kent-Andre Mardal
Scientific computing and numerical analysis (SCAN), Simula research laboratory, Oslo, Norway
1 shared publication - Miroslav Kuchta
Department of Numerical Analysis and Scientific Computing, Simula Research Laboratory, Oslo, Norway
1 shared publication Paolo Zunino
Politecnico di Milano
1 shared publication- Paolo Zunino
MOX, Department of Mathematics, Politecnico di Milano, Milan, Italy
1 shared publication Stefano Brambilla
MOXOFF
1 shared publication
Latest Publications
- 22 August 2020
- Published by Springer Nature
- p. 663-671
A Posteriori Model Error Analysis of 3D-1D Coupled PDEs
- 22 August 2020
- Published by Springer Nature
- p. 663-671
A Posteriori Model Error Analysis of 3D-1D Coupled PDEs
- Open Access
Analysis and approximation of mixed-dimensional PDEs on 3D-1D domains coupled with Lagrange multipliers
Coupled partial differential equations defined on domains with different dimensionality are usually called mixed dimensional PDEs. We address mixed dimensional PDEs on three-dimensional (3D) and one-dimensional domains, giving rise to a 3D-1D coupled problem. Such problem poses several challenges from the standpoint of existence of solutions and numerical approximation. For the coupling conditions across dimensions, we consider the combination of essential and natural conditions, basically the combination of Dirichlet and Neumann conditions. To ensure a meaningful formulation of such conditions, we use the Lagrange multiplier method, suitably adapted to the mixed dimensional case. The well posedness of the resulting saddle point problem is analyzed. Then, we address the numerical approximation of the problem in the framework of the finite element method. The discretization of the Lagrange multiplier space is the main challenge. Several options are proposed, analyzed and compared, with the purpose to determine a good balance between the mathematical properties of the discrete problem and flexibility of implementation of the numerical scheme. The results are supported by evidence based on numerical experiments.
Open AccessAnalysis and approximation of mixed-dimensional PDEs on 3D-1D domains coupled with Lagrange multipliers
Coupled partial differential equations defined on domains with different dimensionality are usually called mixed dimensional PDEs. We address mixed dimensional PDEs on three-dimensional (3D) and one-dimensional domains, giving rise to a 3D-1D coupled problem. Such problem poses several challenges from the standpoint of existence of solutions and numerical approximation. For the coupling conditions across dimensions, we consider the combination of essential and natural conditions, basically the combination of Dirichlet and Neumann conditions. To ensure a meaningful formulation of such conditions, we use the Lagrange multiplier method, suitably adapted to the mixed dimensional case. The well posedness of the resulting saddle point problem is analyzed. Then, we address the numerical approximation of the problem in the framework of the finite element method. The discretization of the Lagrange multiplier space is the main challenge. Several options are proposed, analyzed and compared, with the purpose to determine a good balance between the mathematical properties of the discrete problem and flexibility of implementation of the numerical scheme. The results are supported by evidence based on numerical experiments.