Variability of Computational Fluid Dynamics Solutions for Pressure and Flow in a Giant Aneurysm: The ASME 2012 Summer Bioengineering Conference CFD Challenge

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 propertie...

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Veröffentlicht in:Journal of biomechanical engineering 2013-02, Vol.135 (2), p.021016-021016
Hauptverfasser: Steinman, David A, Hoi, Yiemeng, Fahy, Paul, Morris, Liam, Walsh, Michael T, Aristokleous, Nicolas, Anayiotos, Andreas S, 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, Pallarés, 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
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container_issue 2
container_start_page 021016
container_title Journal of biomechanical engineering
container_volume 135
creator Steinman, David A
Hoi, Yiemeng
Fahy, Paul
Morris, Liam
Walsh, Michael T
Aristokleous, Nicolas
Anayiotos, Andreas S
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
Pallarés, 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
description 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.
doi_str_mv 10.1115/1.4023382
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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. 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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.</description><subject>Aneurysm</subject><subject>Aneurysm - physiopathology</subject><subject>Bioengineering</subject><subject>Blood Circulation</subject><subject>Computer Simulation</subject><subject>Congresses as Topic</subject><subject>Humans</subject><subject>Hydrodynamics</subject><subject>Kinetics</subject><subject>Pressure</subject><subject>Societies, 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Francis</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Journal of biomechanical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Steinman, David A</au><au>Hoi, Yiemeng</au><au>Fahy, Paul</au><au>Morris, Liam</au><au>Walsh, Michael T</au><au>Aristokleous, Nicolas</au><au>Anayiotos, Andreas S</au><au>Papaharilaou, Yannis</au><au>Arzani, Amirhossein</au><au>Shadden, Shawn C</au><au>Berg, Philipp</au><au>Janiga, Gábor</au><au>Bols, Joris</au><au>Segers, Patrick</au><au>Bressloff, Neil W</au><au>Cibis, Merih</au><au>Gijsen, Frank H</au><au>Cito, Salvatore</au><au>Pallarés, Jordi</au><au>Browne, Leonard D</au><au>Costelloe, Jennifer A</au><au>Lynch, Adrian G</au><au>Degroote, Joris</au><au>Vierendeels, Jan</au><au>Fu, Wenyu</au><au>Qiao, Aike</au><au>Hodis, Simona</au><au>Kallmes, David F</au><au>Kalsi, Hardeep</au><au>Long, Quan</au><au>Kheyfets, Vitaly O</au><au>Finol, Ender A</au><au>Kono, Kenichi</au><au>Malek, Adel M</au><au>Lauric, Alexandra</au><au>Menon, Prahlad G</au><au>Pekkan, Kerem</au><au>Esmaily Moghadam, Mahdi</au><au>Marsden, Alison L</au><au>Oshima, Marie</au><au>Katagiri, Kengo</au><au>Peiffer, Véronique</au><au>Mohamied, Yumnah</au><au>Sherwin, Spencer J</au><au>Schaller, Jens</au><au>Goubergrits, Leonid</au><au>Usera, Gabriel</au><au>Mendina, Mariana</au><au>Valen-Sendstad, Kristian</au><au>Habets, Damiaan F</au><au>Xiang, Jianping</au><au>Meng, Hui</au><au>Yu, Yue</au><au>Karniadakis, George E</au><au>Shaffer, Nicholas</au><au>Loth, Francis</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Variability of Computational Fluid Dynamics Solutions for Pressure and Flow in a Giant Aneurysm: The ASME 2012 Summer Bioengineering Conference CFD Challenge</atitle><jtitle>Journal of biomechanical engineering</jtitle><stitle>J Biomech Eng</stitle><addtitle>J Biomech Eng</addtitle><date>2013-02-01</date><risdate>2013</risdate><volume>135</volume><issue>2</issue><spage>021016</spage><epage>021016</epage><pages>021016-021016</pages><issn>0148-0731</issn><eissn>1528-8951</eissn><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.</abstract><cop>United States</cop><pub>ASME</pub><pmid>23445061</pmid><doi>10.1115/1.4023382</doi><tpages>1</tpages></addata></record>
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identifier ISSN: 0148-0731
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issn 0148-0731
1528-8951
language eng
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source MEDLINE; Alma/SFX Local Collection; ASME Transactions Journals (Current)
subjects Aneurysm
Aneurysm - physiopathology
Bioengineering
Blood Circulation
Computer Simulation
Congresses as Topic
Humans
Hydrodynamics
Kinetics
Pressure
Societies, Scientific
title 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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