Fast fluid–structure interaction simulations using a displacement-based finite element model equipped with an explicit streamline integration prediction

We propose here a displacement-based updated Lagrangian fluid model developed to facilitate a monolithic coupling with a wide range of structural elements described in terms of displacements. The novelty of the model consists in the use of the explicit streamline integration for predicting the end-o...

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Detalles Bibliográficos
Autores: Ryzhakov, Pavel|||0000-0002-4672-9038, Martí, Julio Marcelo|||0000-0002-6971-1797, Idelsohn Barg, Sergio Rodolfo, Oñate Ibáñez de Navarra, Eugenio|||0000-0002-0804-7095
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/185482
Acceso en línea:https://hdl.handle.net/2117/185482
https://dx.doi.org/10.1016/j.cma.2016.12.003
Access Level:acceso abierto
Palabra clave:Fluid-structure interaction -- Mathematical models
Incompressible flows
Navier–Stokes
Fluid–structure interaction
Particle finite element method
Lagrangian
Coupled problems
Interacció fluid-estructura -- Models matemàtics
Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits
Àrees temàtiques de la UPC::Física::Física de fluids
Descripción
Sumario:We propose here a displacement-based updated Lagrangian fluid model developed to facilitate a monolithic coupling with a wide range of structural elements described in terms of displacements. The novelty of the model consists in the use of the explicit streamline integration for predicting the end-of-step configuration of the fluid domain. It is shown that this prediction considerably alleviates the time step size restrictions faced by the former Lagrangian models due to the possibility of an element inversion within one time step. The method is validated and compared with conventional approaches using three numerical examples. Time step size and corresponding Courant numbers leading to optimal behavior in terms of computational efficiency are identified.