International Conference on Computacional Methods for Coupled Problems in Science and Engineering

p. 1

Presentation's date: 2015

Abstract:

The simulation of Fluid Structure Interaction (FSI) problems requires by its very nature taking into account relevant displacements of solids within a fluid domain. While “small” deformations can be conveniently represented by Arbitrary Lagrangian Eulerian (ALE) techniques, such approaches fail when facing large deformations. One possible solution is the use of “Embedded Solvers” which essentially consist in embedding an approximation of the geometry within the fluid discretization so that such information can be taken into account while solving the fluid problem. Current work focuses on the implementation of one of such Embedded approaches in the context of Variational Multi Scale (VMS) techniques. We will show how this technique can be employed to perform effectively fully coupled LES-like simulations. The method is completed by the use of the parallel adaptive refinement strategy described in [1]. The method is evaluated in application to a real deformable structure for which experimental results are available.]]>

European Conference on Computational Mechanics

Presentation's date: 2014-07

International Symposium on Computational Wind Engineering

p. 354-355

Presentation's date: 2014-06

International journal for numerical methods in fluids

Vol. 71, num. 6, p. 687-716

DOI: 10.1002/fld.3680

Date of publication: 2013-02

Abstract:

We present an efficient technique for the solution of free surface flow problems using level set and a parallel edge-based finite elementmethod. An unstructured semi-explicit solution scheme is proposed. A custom data structure, obtained by blending node-based and edge-based approaches is presented so to allow a good parallel performance. In addition to standard velocity extrapolation (for the convection of the level set function), an explicit extrapolation of the pressure field is performed in order to impose both the pressure boundary condition and the volume conservation. The latter is also improved with a modification of the divergence free constrain. The method is shown to allow an efficient solution of both simple benchmark cases and complex industrial examples.]]>