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经导管主动脉瓣动力学计算流固耦合模型的实验台验证

Experimental Bench Validation of a Computational Fluid-Structure Interaction Model of Transcatheter Aortic Valve Dynamics

Jae H. Lee, Paul Ahern, Anh D. Nguyen, Masod Sadipour, Robert Hunt, Wyatt Kmetz, Boyce E. Griffith

arXiv 2610.03297首次发表:更新:

发表机构

Old Dominion University; University of North Carolina, Chapel Hill; University of Chicago(老道明大学; 北卡罗来纳大学教堂山分校; 芝加哥大学)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本研究将流固耦合框架扩展至TAVR装置,在60、70、80 bpm下验证血流动力学和瓣叶运动学,证明边界参数可跨心率转移,无需重新校准,为TAVR性能评估提供高保真实验支持。

AI 中文摘要

目的:本研究将我们针对外科生物假体心脏瓣膜在实验性脉动复制器中的流固耦合(FSI)框架扩展至经导管主动脉瓣置换(TAVR)装置。我们评估了不同心率下的血流动力学和瓣叶运动学一致性,以及校准边界模型参数的可转移性。方法:我们在60、70和80次/分钟(bpm)下比较了模拟与实验的压力、体积流量、投影动态瓣膜面积(PDVA)和瓣叶运动学。降阶边界模型参数仅使用70 bpm下获取的数据进行校准,随后保持固定。在每个心率下,根据测量的上游压力和流量构建特定条件的泵压波形。因此,60和80 bpm的情况评估了在测量信息上游强迫下的参数转移。结果:在三种条件下,主动脉流量的归一化均方根误差为2.88-3.08%,上游心室压力为7.64-8.07%,下游主动脉压力为3.50-6.21%,PDVA为3.07-4.70%。模拟再现了主要的压力、流量、瓣膜开启和关闭特征。60和80 bpm下的下游主动脉压力和PDVA测量未用于构建上游强迫或重新校准模型参数,因此提供了主要的校准外验证证据。结论:结果为测量信息上游强迫下的下游血流动力学和瓣膜动力学提供了条件性实验台验证证据,并支持边界参数在不同心率间的转移而无需重新校准。这项工作推进了一个实验支持的高保真FSI框架,用于评估TAVR装置性能。

英文摘要

Purpose: This study extends our fluid-structure interaction (FSI) framework for surgical bioprosthetic heart valves in an experimental pulse duplicator to a transcatheter aortic valve replacement (TAVR) device. We assess hemodynamic and leaflet kinematic agreement across pulse rates and the transferability of calibrated boundary-model parameters. Methods: We compared simulated and experimental pressure, volumetric flow rate, projected dynamic valve area (PDVA), and leaflet kinematics at 60, 70, and 80 beats per minute (bpm). Reduced-order boundary-model parameters were calibrated using only data acquired at 70 bpm and were subsequently held fixed. At each pulse rate, a condition-specific pump-pressure waveform was constructed from the measured upstream pressure and flow rate. The 60 and 80 bpm cases therefore evaluate parameter transfer under measurement-informed upstream forcing. Results: Across the three conditions, normalized root-mean-square errors are 2.88-3.08% for aortic flow rate, 7.64-8.07% for upstream ventricular pressure, 3.50-6.21% for downstream aortic pressure, and 3.07-4.70% for PDVA. The simulations reproduce the principal pressure, flow, valve-opening, and valve-closure features. The downstream aortic pressure and PDVA measurements at 60 and 80 bpm were not used to construct the upstream forcing or recalibrate the model parameters and therefore provide the principal out-of-calibration validation evidence. Conclusion: The results provide conditional experimental bench validation evidence for downstream hemodynamics and valve dynamics under measurement-informed upstream forcing and support boundary-parameter transfer across pulse rates without recalibration. This work advances an experimentally supported, high-fidelity FSI framework for evaluating TAVR device performance.

论文原文

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