High fidelity Fluid-Structure Interaction (FSI) can be tackled by means of non-linear Finite Element Models (FEM) suitable to capture large deflections of structural parts interacting with fluids and by means of detailed Computational Fluid Dynamics (CFD). High fidelity is gained thanks to the spatial resolution of the computational grids and a key enabler to have a proper exchange of information between the structural solver and the fluid one is the management of the interfaces. A class of applications consists in problems where the complex movement of the walls is known in advance or can be computed by FEM and has to be transferred to the CFD solver. The aforementioned approach, known also as one-way FSI, requires effective methods for the time marching adaption of the computation grid of the CFD model. A versatile and well established approach consists in a continuum update of the mesh that is regenerated so to fit the evolution of the moving walls. In this study, an innovative method based on Radial Basis Functions (RBF) mesh morphing is proposed, allowing to keep the same mesh topology suitable for a continuum update of the shape. A set of key configurations are exactly guaranteed whilst time interpolation is adopted between frames. The new framework is detailed and then demonstrated, adopting as a reference the established approach based on remeshing, for the study of a Polymeric-Prosthetic Heart Valve (P-PHV).

Geronzi, L., Gasparotti, E., Capellini, K., Cella, U., Groth, C., Porziani, S., et al. (2020). Advanced radial basis functions mesh morphing for high fidelity fluid-structure interaction with known movement of the walls: simulation of an aortic valve. In Computational Science - ICCS 2020 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 280-293). Springer [10.1007/978-3-030-50433-5_22].

Advanced radial basis functions mesh morphing for high fidelity fluid-structure interaction with known movement of the walls: simulation of an aortic valve

Cella U.;Groth C.;Chiappa A.;Biancolini Marco Evangelos
2020-01-01

Abstract

High fidelity Fluid-Structure Interaction (FSI) can be tackled by means of non-linear Finite Element Models (FEM) suitable to capture large deflections of structural parts interacting with fluids and by means of detailed Computational Fluid Dynamics (CFD). High fidelity is gained thanks to the spatial resolution of the computational grids and a key enabler to have a proper exchange of information between the structural solver and the fluid one is the management of the interfaces. A class of applications consists in problems where the complex movement of the walls is known in advance or can be computed by FEM and has to be transferred to the CFD solver. The aforementioned approach, known also as one-way FSI, requires effective methods for the time marching adaption of the computation grid of the CFD model. A versatile and well established approach consists in a continuum update of the mesh that is regenerated so to fit the evolution of the moving walls. In this study, an innovative method based on Radial Basis Functions (RBF) mesh morphing is proposed, allowing to keep the same mesh topology suitable for a continuum update of the shape. A set of key configurations are exactly guaranteed whilst time interpolation is adopted between frames. The new framework is detailed and then demonstrated, adopting as a reference the established approach based on remeshing, for the study of a Polymeric-Prosthetic Heart Valve (P-PHV).
2020
Settore ING-IND/14 - PROGETTAZIONE MECCANICA E COSTRUZIONE DI MACCHINE
English
Rilevanza internazionale
Articolo scientifico in atti di convegno
Aortic valve
Fluid-Structure Interaction
FSI
Morphing
Multi-physics
Polymeric aortic valve
RBF
RBF Morph
Geronzi, L., Gasparotti, E., Capellini, K., Cella, U., Groth, C., Porziani, S., et al. (2020). Advanced radial basis functions mesh morphing for high fidelity fluid-structure interaction with known movement of the walls: simulation of an aortic valve. In Computational Science - ICCS 2020 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 280-293). Springer [10.1007/978-3-030-50433-5_22].
Geronzi, L; Gasparotti, E; Capellini, K; Cella, U; Groth, C; Porziani, S; Chiappa, A; Celi, S; Biancolini, Me
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/252094
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