Univentricular heart disease is the leading cause of death from any birth defect in the first year of life. Typically, patients have to undergo three open heart surgical procedures within the first few years of their lives to eventually directly connect the superior and inferior vena cavae to the left and right pulmonary arteries forming the Total Cavopulmonary Connection or TCPC. The end result is a weak circulation where the single working ventricle pumps oxygenated blood to the body and de-oxygenated blood flows passively through the TCPC into the lungs. The fluid dynamics of the TCPC junction involve confined impinging jets resulting in a highly unstable flow, significant mechanical energy dissipation, and undesirable pressure loss. Understanding and predicting such flows is important for improving the surgical procedure and for the design of mechanical cavopulmonary assist devices. In this study, Dynamic Mode Decomposition (DMD) is used to analyze previously obtained Stereoscopic Particle Imaging Velocimetry (SPIV) data and Large Eddy Simulation (LES) results for an idealized TCPC. Analysis of the DMD modes from the SPIV and LES serve to both highlight the unsteady vortical dynamics and the qualitative agreement between measurements and simulations.

中文翻译：

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Fontan 血流动力学在理想化全腔静脉连接中的动态模式分解

单心室心脏病是导致出生后第一年任何出生缺陷死亡的主要原因。通常情况下，患者在生命的最初几年内必须接受三个心脏直视手术，最终将上腔静脉和下腔静脉直接连接到左右肺动脉，形成全腔肺连接或 TCPC。最终结果是循环较弱，单个工作心室将含氧血液泵送到身体，脱氧血液被动地通过 TCPC 流入肺部。TCPC 接头的流体动力学涉及受限的撞击射流，导致高度不稳定的流动、显着的机械能耗散和不希望的压力损失。了解和预测这种流量对于改进外科手术和机械腔肺辅助装置的设计很重要。在这项研究中，动态模式分解 (DMD) 用于分析先前获得的立体粒子成像测速 (SPIV) 数据和理想化 TCPC 的大涡模拟 (LES) 结果。对来自 SPIV 和 LES 的 DMD 模式的分析有助于突出不稳定的涡流动力学以及测量和模拟之间的定性一致性。