Aorta flow analysis and heart valve flow and structure analysis
Aorta flow analysis and heart valve flow and structure analysis
复制标题
主动脉血流分析和心脏瓣膜血流和结构分析
DOI:
10.1007/978-3-319-96469-0_2
复制
发表时间:
2018
影响因子:
4.1
通讯作者:
G. Inoue
中科院分区:
文献类型:
--
作者:
K. Takizawa;T. Tezduyar;Hiroaki Uchikawa;Takuya Terahara;Takafumi Sasaki;Ken Shiozaki;Ayaka Yoshida;Kenji Komiya;G. Inoue
We present our computational methods for and results from aorta flow analysis and heart valve flow and structure analysis. In flow analysis, the core method is the space–time Variational Multiscale (ST-VMS) method. The other key methods are the ST Slip Interface (ST-SI) and ST Topology Change (ST-TC) methods and the ST Isogeometric Analysis (ST-IGA). The ST framework, in a general context, provides higher-order accuracy. The VMS feature of the ST-VMS addresses the computational challenges associated with the multiscale nature of the unsteady flows in the aorta and heart valve. The moving-mesh feature of the ST framework enables high-resolution computation near the valve leaflets. The ST-SI connects the sectors of meshes containing the leaflets, enabling a more effective mesh moving. The ST-TC enables moving-mesh computation even with the TC created by the contact between the leaflets. It deals with the contact while maintaining high-resolution representation near the leaflets. Integration of the ST-SI and ST-TC enables high-resolution representation even though parts of the SI are coinciding with the leaflet surfaces. It also enables dealing with leaflet–leaflet contact location change and contact sliding. The ST-IGA provides smoother representation of aorta and valve surfaces and increased accuracy in the flow solution. With the integration of the ST-IGA with the ST-SI and ST-TC, the element density in the narrow spaces near the contact areas is kept at a reasonable level. In structure analysis, we use a Kirchhoff–Love shell model, where we take the stretch in the third direction into account in calculating the curvature term. The computations presented demonstrate the scope and effectiveness of the methods.
DOI:
10.1016/j.cma.2009.08.013
发表时间:
2009-01-01
影响因子:
7.2
作者:
Kiendl, J.;Bletzinger, K-U.;Wuechner, R.
通讯作者:
Wuechner, R.
DOI:
10.1016/j.cma.2014.10.040
发表时间:
2015-02-01
影响因子:
7.2
作者:
Kamensky D;Hsu MC;Schillinger D;Evans JA;Aggarwal A;Bazilevs Y;Sacks MS;Hughes TJ
通讯作者:
Hughes TJ