Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/16206
Title: | Variability of computational fluid dynamics solutions for pressure and flow in a giant aneurysm: the ASME 2012 Summer Bioengineering Conference CFD Challenge | Authors: | 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 |
Major Field of Science: | Engineering and Technology | Field Category: | Mechanical Engineering | Keywords: | Centerlines;Discretizations;Flow byes;Flow instabilities;Flow model;Fluid property;Future challenges;High temporal resolution;In-phase;Measured values;Micro CT;Microcomputed tomography;Phase I;Phase II;Physical model;Pressure patterns;Research groups;Solution strategy;Submillimeters;Systolic pressure | Issue Date: | 2013 | Source: | Journal of Biomechanical Engineering, 2013, vol. 135, no. 2 | Volume: | 135 | Issue: | 2 | Journal: | Journal of Biomechanical Engineering | 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. | URI: | https://hdl.handle.net/20.500.14279/16206 | ISSN: | 15288951 | DOI: | 10.1115/1.4023382 | Rights: | © American Society of Mechanical Engineers | Type: | Article | Affiliation : | Cyprus University of Technology University of Toronto Galway Mayo Institute of Technology University of Limerick Foundation for Research & Technology-Hellas (F.O.R.T.H.) Illinois Institute of Technology Otto von Guericke University of Magdeburg Ghent University University of Southampton Erasmus University Medical Center University Rovira i Virgili University of Limerick Beijing University of Technology Mayo Clinic Brunel University London University of Texas at San Antonio Wakayama Rosai Hospital Tufts Medical Center Carnegie Mellon University University of California, San Diego Tokyo University of Science Shibaura Institute of Technology Imperial College London Charité-Universitätsmedizin Berlin Universidad de la República State University of New York at Buffalo Brown University University of Akron, Akron |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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