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  4. Variability of computational fluid dynamics solutions for pressure and flow in a giant aneurysm: the ASME 2012 Summer Bioengineering Conference CFD Challenge
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Variability of computational fluid dynamics solutions for pressure and flow in a giant aneurysm: the ASME 2012 Summer Bioengineering Conference CFD Challenge

Journal
Journal of Biomechanical Engineering
Date Issued
2013
Author(s)
Steinman, David A.  
Hoi, Yiemeng  
Fahy, Paul  
Morris, Liam  
Walsh, Michael T  
Aristokleous, Nicolas  
Anayiotos, Andreas  
Papaharilaou, Yannis  
Arzani, Amirhossein  
Shadden, Shawn C  
Berg, Philipp  
Janiga, Gábor  
Bols, Joris  
Segers, Patrick  
Bressloff, Neil W.  
Cibis, Merih  
Gijsen, Frank H  
Cito, Salvatore  
Pallares, Jordi  
Browne, Leonard D  
Costelloe, Jennifer A  
Lynch, Adrian G  
Degroote, Joris  
Vierendeels, Jan  
Fu, Wenyu  
Qiao, Aike  
Hodis, Simona  
Kallmes, David F  
Kalsi, Hardeep  
Long, Quan  
Kheyfets, Vitaly O  
Finol, Ender A  
Kono, Kenichi  
Malek, Adel M  
Lauric, Alexandra  
Menon, Prahlad G.  
Pekkan, Kerem  
Esmaily Moghadam, Mahdi  
Marsden, Alison L  
Oshima, Marie  
Katagiri, Kengo  
Peiffer, Véronique  
Mohamied, Yumnah  
Sherwin, Spencer J  
Schaller, Jens  
Goubergrits, Leonid  
Usera, Gabriel  
Mendina, Mariana  
Valen-Sendstad, Kristian  
Habets, Damiaan F  
Xiang, Jianping  
Meng, Hui  
Yu, Yue  
Karniadakis, George E  
Shaffer, Nicholas  
Loth, Francis  
DOI
10.1115/1.4023382
Abstract
Stimulated by a recent controversy regarding pressure drops predicted in a giant aneurysm with a proximal stenosis, the present study sought to assess variability in the prediction of pressures and flow by a wide variety of research groups. In phase I, lumen geometry, flow rates, and fluid properties were specified, leaving each research group to choose their solver, discretization, and solution strategies. Variability was assessed by having each group interpolate their results onto a standardized mesh and centerline. For phase II, a physical model of the geometry was constructed, from which pressure and flow rates were measured. Groups repeated their simulations using a geometry reconstructed from a micro-computed tomography (CT) scan of the physical model with the measured flow rates and fluid properties. Phase I results from 25 groups demonstrated remarkable consistency in the pressure patterns, with the majority predicting peak systolic pressure drops within 8% of each other. Aneurysm sac flow patterns were more variable with only a few groups reporting peak systolic flow instabilities owing to their use of high temporal resolutions. Variability for phase II was comparable, and the median predicted pressure drops were within a few millimeters of mercury of the measured values but only after accounting for submillimeter errors in the reconstruction of the life-sized flow model from micro-CT. In summary, pressure can be predicted with consistency by CFD across a wide range of solvers and solution strategies, but this may not hold true for specific flow patterns or derived quantities. Future challenges are needed and should focus on hemodynamic quantities thought to be of clinical interest.
Subjects

Centerlines

Discretizations

Flow byes

Flow instabilities

Flow model

Fluid property

Future challenges

High temporal resolut...

In-phase

Measured values

Micro CT

Microcomputed tomogra...

Phase I

Phase II

Physical model

Pressure patterns

Research groups

Solution strategy

Submillimeters

Systolic pressure

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