Benchmark for Numerical Models of Stented Coronary Bifurcation FlowSource: Journal of Biomechanical Engineering:;2018:;volume( 140 ):;issue: 009::page 91009Author:García Carrascal, P.
,
García García, J.
,
Sierra Pallares, J.
,
Castro Ruiz, F.
,
Manuel Martín, F. J.
DOI: 10.1115/1.4039676Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In-stent restenosis ails many patients who have undergone stenting. When the stented artery is a bifurcation, the intervention is particularly critical because of the complex stent geometry involved in these structures. Computational fluid dynamics (CFD) has been shown to be an effective approach when modeling blood flow behavior and understanding the mechanisms that underlie in-stent restenosis. However, these CFD models require validation through experimental data in order to be reliable. It is with this purpose in mind that we performed particle image velocimetry (PIV) measurements of velocity fields within flows through a simplified coronary bifurcation. Although the flow in this simplified bifurcation differs from the actual blood flow, it emulates the main fluid dynamic mechanisms found in hemodynamic flow. Experimental measurements were performed for several stenting techniques in both steady and unsteady flow conditions. The test conditions were strictly controlled, and uncertainty was accurately predicted. The results obtained in this research represent readily accessible, easy to emulate, detailed velocity fields and geometry, and they have been successfully used to validate our numerical model. These data can be used as a benchmark for further development of numerical CFD modeling in terms of comparison of the main flow pattern characteristics.
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| contributor author | García Carrascal, P. | |
| contributor author | García García, J. | |
| contributor author | Sierra Pallares, J. | |
| contributor author | Castro Ruiz, F. | |
| contributor author | Manuel Martín, F. J. | |
| date accessioned | 2019-02-28T11:10:48Z | |
| date available | 2019-02-28T11:10:48Z | |
| date copyright | 5/24/2018 12:00:00 AM | |
| date issued | 2018 | |
| identifier issn | 0148-0731 | |
| identifier other | bio_140_09_091009.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4253525 | |
| description abstract | In-stent restenosis ails many patients who have undergone stenting. When the stented artery is a bifurcation, the intervention is particularly critical because of the complex stent geometry involved in these structures. Computational fluid dynamics (CFD) has been shown to be an effective approach when modeling blood flow behavior and understanding the mechanisms that underlie in-stent restenosis. However, these CFD models require validation through experimental data in order to be reliable. It is with this purpose in mind that we performed particle image velocimetry (PIV) measurements of velocity fields within flows through a simplified coronary bifurcation. Although the flow in this simplified bifurcation differs from the actual blood flow, it emulates the main fluid dynamic mechanisms found in hemodynamic flow. Experimental measurements were performed for several stenting techniques in both steady and unsteady flow conditions. The test conditions were strictly controlled, and uncertainty was accurately predicted. The results obtained in this research represent readily accessible, easy to emulate, detailed velocity fields and geometry, and they have been successfully used to validate our numerical model. These data can be used as a benchmark for further development of numerical CFD modeling in terms of comparison of the main flow pattern characteristics. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Benchmark for Numerical Models of Stented Coronary Bifurcation Flow | |
| type | Journal Paper | |
| journal volume | 140 | |
| journal issue | 9 | |
| journal title | Journal of Biomechanical Engineering | |
| identifier doi | 10.1115/1.4039676 | |
| journal fristpage | 91009 | |
| journal lastpage | 091009-10 | |
| tree | Journal of Biomechanical Engineering:;2018:;volume( 140 ):;issue: 009 | |
| contenttype | Fulltext |