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不同本构律对二尖瓣流固耦合模拟的影响

Some Effects of Different Constitutive Laws on FSI Simulation for the Mitral Valve.

机构信息

NPU-UoG International Cooperative Lab for Computation and Application in Cardiology, Northwestern Polytechnical University, Xi'an, 710129, China.

School of Mathematics and Statistics, University of Glasgow, Glasgow, G12 8QQ, UK.

出版信息

Sci Rep. 2019 Sep 4;9(1):12753. doi: 10.1038/s41598-019-49161-6.

DOI:10.1038/s41598-019-49161-6
PMID:31484963
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6726639/
Abstract

In this paper, three different constitutive laws for mitral leaflets and two laws for chordae tendineae are selected to study their effects on mitral valve dynamics with fluid-structure interaction. We first fit these three mitral leaflet constitutive laws and two chordae tendineae laws with experimental data. The fluid-structure interaction is implemented in an immersed boundary framework with finite element extension for solid, that is the hybrid immersed boundary/finite element(IB/FE) method. We specifically compare the fluid-structure results of different constitutive laws since fluid-structure interaction is the physiological loading environment. This allows us to look at the peak jet velocity, the closure regurgitation volume, and the orifice area. Our numerical results show that different constitutive laws can affect mitral valve dynamics, such as the transvalvular flow rate, closure regurgitation and the orifice area, while the differences in fiber strain and stress are insignificant because all leaflet constitutive laws are fitted to the same set of experimental data. In addition, when an exponential constitutive law of chordae tendineae is used, a lower closure regurgitation flow is observed compared to that of a linear material model. In conclusion, combining numerical dynamic simulations and static experimental tests, we are able to identify suitable constitutive laws for dynamic behaviour of mitral leaflets and chordae under physiological conditions.

摘要

本文选择了三种不同的二尖瓣叶本构律和两种腱索本构律,研究它们在流固耦合作用下对二尖瓣动力学的影响。我们首先通过实验数据拟合了这三种二尖瓣叶本构律和两种腱索本构律。流固耦合采用浸入边界有限元扩展方法实现,即混合浸入边界/有限元(IB/FE)方法。我们特别比较了不同本构律的流固耦合结果,因为流固耦合是生理加载环境。这使我们能够观察到峰值射流速度、关闭性反流体积和孔口面积。我们的数值结果表明,不同的本构律可以影响二尖瓣动力学,例如跨瓣流量、关闭性反流和孔口面积,而纤维应变和应力的差异并不显著,因为所有的瓣叶本构律都拟合了相同的一组实验数据。此外,当使用腱索的指数本构律时,与线性材料模型相比,观察到较低的关闭性反流流量。总之,通过数值动态模拟和静态实验测试相结合,我们能够确定在生理条件下适合二尖瓣叶和腱索动态行为的本构律。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/a286c72a581c/41598_2019_49161_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/7ea3c7ff15a0/41598_2019_49161_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/b227a49c270e/41598_2019_49161_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/a6655a93f38f/41598_2019_49161_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/d6943f5e7489/41598_2019_49161_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/1ef20f79f9d3/41598_2019_49161_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/4ee7c32d48fa/41598_2019_49161_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/63c07c4e3444/41598_2019_49161_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/c91538952054/41598_2019_49161_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/1ad5f1cca72c/41598_2019_49161_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/c787f6bfba8d/41598_2019_49161_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/420530325640/41598_2019_49161_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/ac310fa43d43/41598_2019_49161_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/a286c72a581c/41598_2019_49161_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/7ea3c7ff15a0/41598_2019_49161_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/b227a49c270e/41598_2019_49161_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/a6655a93f38f/41598_2019_49161_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/d6943f5e7489/41598_2019_49161_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/1ef20f79f9d3/41598_2019_49161_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/4ee7c32d48fa/41598_2019_49161_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/63c07c4e3444/41598_2019_49161_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/c91538952054/41598_2019_49161_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/1ad5f1cca72c/41598_2019_49161_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/c787f6bfba8d/41598_2019_49161_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/420530325640/41598_2019_49161_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/ac310fa43d43/41598_2019_49161_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b3/6726639/a286c72a581c/41598_2019_49161_Fig13_HTML.jpg

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