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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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 |
format | Article |
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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><identifier>ISSN: 0148-0731</identifier><identifier>EISSN: 1528-8951</identifier><identifier>DOI: 10.1115/1.4023382</identifier><identifier>PMID: 23445061</identifier><language>eng</language><publisher>United States: ASME</publisher><subject>Aneurysm ; Aneurysm - physiopathology ; Bioengineering ; Blood Circulation ; Computer Simulation ; Congresses as Topic ; Humans ; Hydrodynamics ; Kinetics ; Pressure ; Societies, Scientific</subject><ispartof>Journal of biomechanical engineering, 2013-02, Vol.135 (2), p.021016-021016</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a404t-6227b083055790e714c5b60e666acc08cd41b2aeed61e9ced48064794cb127de3</citedby><cites>FETCH-LOGICAL-a404t-6227b083055790e714c5b60e666acc08cd41b2aeed61e9ced48064794cb127de3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904,38499</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23445061$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Steinman, David A</creatorcontrib><creatorcontrib>Hoi, Yiemeng</creatorcontrib><creatorcontrib>Fahy, Paul</creatorcontrib><creatorcontrib>Morris, Liam</creatorcontrib><creatorcontrib>Walsh, Michael T</creatorcontrib><creatorcontrib>Aristokleous, Nicolas</creatorcontrib><creatorcontrib>Anayiotos, Andreas S</creatorcontrib><creatorcontrib>Papaharilaou, Yannis</creatorcontrib><creatorcontrib>Arzani, Amirhossein</creatorcontrib><creatorcontrib>Shadden, Shawn C</creatorcontrib><creatorcontrib>Berg, Philipp</creatorcontrib><creatorcontrib>Janiga, Gábor</creatorcontrib><creatorcontrib>Bols, Joris</creatorcontrib><creatorcontrib>Segers, Patrick</creatorcontrib><creatorcontrib>Bressloff, Neil W</creatorcontrib><creatorcontrib>Cibis, Merih</creatorcontrib><creatorcontrib>Gijsen, Frank H</creatorcontrib><creatorcontrib>Cito, Salvatore</creatorcontrib><creatorcontrib>Pallarés, Jordi</creatorcontrib><creatorcontrib>Browne, Leonard D</creatorcontrib><creatorcontrib>Costelloe, Jennifer A</creatorcontrib><creatorcontrib>Lynch, Adrian G</creatorcontrib><creatorcontrib>Degroote, Joris</creatorcontrib><creatorcontrib>Vierendeels, Jan</creatorcontrib><creatorcontrib>Fu, Wenyu</creatorcontrib><creatorcontrib>Qiao, Aike</creatorcontrib><creatorcontrib>Hodis, Simona</creatorcontrib><creatorcontrib>Kallmes, David F</creatorcontrib><creatorcontrib>Kalsi, Hardeep</creatorcontrib><creatorcontrib>Long, Quan</creatorcontrib><creatorcontrib>Kheyfets, Vitaly O</creatorcontrib><creatorcontrib>Finol, Ender A</creatorcontrib><creatorcontrib>Kono, Kenichi</creatorcontrib><creatorcontrib>Malek, Adel M</creatorcontrib><creatorcontrib>Lauric, Alexandra</creatorcontrib><creatorcontrib>Menon, Prahlad G</creatorcontrib><creatorcontrib>Pekkan, Kerem</creatorcontrib><creatorcontrib>Esmaily Moghadam, Mahdi</creatorcontrib><creatorcontrib>Marsden, Alison L</creatorcontrib><creatorcontrib>Oshima, Marie</creatorcontrib><creatorcontrib>Katagiri, Kengo</creatorcontrib><creatorcontrib>Peiffer, Véronique</creatorcontrib><creatorcontrib>Mohamied, Yumnah</creatorcontrib><creatorcontrib>Sherwin, Spencer J</creatorcontrib><creatorcontrib>Schaller, Jens</creatorcontrib><creatorcontrib>Goubergrits, Leonid</creatorcontrib><creatorcontrib>Usera, Gabriel</creatorcontrib><creatorcontrib>Mendina, Mariana</creatorcontrib><creatorcontrib>Valen-Sendstad, Kristian</creatorcontrib><creatorcontrib>Habets, Damiaan F</creatorcontrib><creatorcontrib>Xiang, Jianping</creatorcontrib><creatorcontrib>Meng, Hui</creatorcontrib><creatorcontrib>Yu, Yue</creatorcontrib><creatorcontrib>Karniadakis, George E</creatorcontrib><creatorcontrib>Shaffer, Nicholas</creatorcontrib><creatorcontrib>Loth, Francis</creatorcontrib><title>Variability of Computational Fluid Dynamics Solutions for Pressure and Flow in a Giant Aneurysm: The ASME 2012 Summer Bioengineering Conference CFD Challenge</title><title>Journal of biomechanical engineering</title><addtitle>J Biomech Eng</addtitle><addtitle>J Biomech Eng</addtitle><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.</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> |
fulltext | fulltext |
identifier | ISSN: 0148-0731 |
ispartof | Journal of biomechanical engineering, 2013-02, Vol.135 (2), p.021016-021016 |
issn | 0148-0731 1528-8951 |
language | eng |
recordid | cdi_proquest_miscellaneous_1512329892 |
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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