Search Results

Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Item

A tangential regularization method for backflow stabilization in hemodynamics

2013, Bertoglio, Cristóbal, Caiazzo, Alfonso

In computational simulations of fluid flows, instabilities at the Neumann boundaries may appear during backflow regime. It is widely accepted that this is due to the incoming energy at the boundary, coming from the convection term, which cannot be controlled when the velocity field is unknown. We propose a stabilized formulation based on a local regularization of the fluid velocity along the tangential directions on the Neumann boundaries. The stabilization term is proportional to the amount of backflow, and does not require any further assumption on the velocity profile. The perfomance of the method is assessed on a twoand three-dimensional Womersley flows, as well as considering a hemodynamic physiological regime in a patient-specific aortic geometry.

Loading...
Thumbnail Image
Item

Benchmark problems for numerical treatment of backflow at open boundaries

2017, Bertoglio, Cristóbal, Bazilevs, Yuri, Caiazzo, Alfonso, Braack, Malte, Esmaily-Moghadam, Mahdi, Gravemeier, Volker, Marsden, Alison L., Pironneau, Olivier, Vignon-Clementel, Irene E.

In computational fluid dynamics, incoming velocity at open boundaries, or backflow, often yields to unphysical instabilities already for moderate Reynolds numbers. Several treatments to overcome these backflow instabilities have been proposed in the literature. However, these approaches have not yet been compared in detail in terms of accuracy in different physiological regimes, in particular due to the difficulty to generate stable reference solutions apart from analytical forms. In this work, we present a set of benchmark problems in order to compare different methods in different backflow regimes (with a full reversal flow and with propagating vortices after a stenosis). The examples are implemented in FreeFem++ and the source code is openly available, making them a solid basis for future method developments.