23 citations · 39 across the 2 of their papers we have counts for
12 papers
A weakly compressible hybridizable discontinuous Galerkin formulation for fluid-structure interaction problems
Andrea La Spina, Martin Kronbichler, Matteo Giacomini +2
A scheme for the solution of fluid-structure interaction (FSI) problems with weakly compressible flows is proposed in this work. A novel hybridizable discontinuous Galerkin (HDG) m…
Hybridisable discontinuous Galerkin solution of geometrically parametrised Stokes flows
Ruben Sevilla, Luca Borchini, Matteo Giacomini +1
This paper proposes a novel computational framework for the solution of geometrically parametrised flow problems governed by the Stokes equation. The proposed method uses a high-or…
A second-order face-centred finite volume method on general meshes with automatic mesh adaptation
Matteo Giacomini, Ruben Sevilla
A second-order face-centred finite volume strategy on general meshes is proposed. The method uses a mixed formulation in which a constant approximation of the unknown is computed o…
An HLL Riemann solver for the hybridised discontinuous Galerkin formulation of compressible flows
Jordi Vila-Pérez, Matteo Giacomini, Ruben Sevilla +1
This work proposes a high-order hybridised discontinuous Galerkin (HDG) formulation of the Harten-Lax-Van Leer (HLL) Riemann solver for compressible flows. A unified framework is i…
Tutorial on Hybridizable Discontinuous Galerkin (HDG) Formulation for Incompressible Flow Problems
Matteo Giacomini, Ruben Sevilla, Antonio Huerta
A hybridizable discontinuous Galerkin (HDG) formulation of the linearized incompressible Navier-Stokes equations, known as Oseen equations, is presented. The Cauchy stress formulat…
Discontinuous Galerkin approximations in computational mechanics: hybridization, exact geometry and degree adaptivity
Matteo Giacomini, Ruben Sevilla
Discontinuous Galerkin (DG) discretizations with exact representation of the geometry and local polynomial degree adaptivity are revisited. Hybridization techniques are employed to…