TY - CHAP
T1 - Computational Cardiovascular Analysis with the Variational Multiscale Methods and Isogeometric Discretization
AU - Hughes, Thomas J.R.
AU - Takizawa, Kenji
AU - Bazilevs, Yuri
AU - Tezduyar, Tayfun E.
AU - Hsu, Ming Chen
N1 - Funding Information:
This work was supported (second author) in part by JST-CREST; Grant-in-Aid for Scientific Research (S) 26220002 from the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT); Grant-in-Aid for Scientific Research (A) 18H04100 from Japan Society for the Promotion of Science; and Rice?Waseda research agreement. The mathematical model and computational method parts of the work were also supported (fourth author) in part by ARO Grant W911NF-17-1-0046, ARO DURIP Grant W911NF-18-1-0234, and Top Global University Project of Waseda University. The third author was partially supported by NSF Grant 1854436, and the fifth author was partially supported by NIH/NHLBI Grants R01HL129077 and R01HL142504.
Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Computational cardiovascular analysis can provide valuable information to cardiologists and cardiovascular surgeons on a patient-specific basis. There are many computational challenges that need to be faced in this class of flow analyses. They include highly unsteady flows, complex cardiovascular geometries, moving boundaries and interfaces, such as the motion of the heart valve leaflets, contact between moving solid surfaces, such as the contact between the leaflets, and the fluid–structure interaction between blood and cardiovascular structure. Many of these challenges have been or are being addressed by the Space–Time Variational Multiscale (ST-VMS) method, the Arbitrary Lagrangian–Eulerian VMS (ALE-VMS) method, and VMS-based immersogeometric analysis (IMGA-VMS), which serve as the core computational methods, and other special methods used in combination with them. We provide an overview of these methods and present examples of challenging computations carried out with them, including aortic and heart valve flow analyses. We also point out that these methods are general computational fluid dynamics techniques and have broad applicability to a wide range of other areas of science and engineering.
AB - Computational cardiovascular analysis can provide valuable information to cardiologists and cardiovascular surgeons on a patient-specific basis. There are many computational challenges that need to be faced in this class of flow analyses. They include highly unsteady flows, complex cardiovascular geometries, moving boundaries and interfaces, such as the motion of the heart valve leaflets, contact between moving solid surfaces, such as the contact between the leaflets, and the fluid–structure interaction between blood and cardiovascular structure. Many of these challenges have been or are being addressed by the Space–Time Variational Multiscale (ST-VMS) method, the Arbitrary Lagrangian–Eulerian VMS (ALE-VMS) method, and VMS-based immersogeometric analysis (IMGA-VMS), which serve as the core computational methods, and other special methods used in combination with them. We provide an overview of these methods and present examples of challenging computations carried out with them, including aortic and heart valve flow analyses. We also point out that these methods are general computational fluid dynamics techniques and have broad applicability to a wide range of other areas of science and engineering.
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U2 - 10.1007/978-3-030-43736-7_6
DO - 10.1007/978-3-030-43736-7_6
M3 - Chapter
AN - SCOPUS:85088447823
T3 - Modeling and Simulation in Science, Engineering and Technology
SP - 151
EP - 193
BT - Modeling and Simulation in Science, Engineering and Technology
PB - Birkhauser
ER -