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首页> 外文期刊>Cardiovascular engineering and technology >High-Frequency Fluctuations in Post-stenotic Patient Specific Carotid Stenosis Fluid Dynamics: A Computational Fluid Dynamics Strategy Study
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High-Frequency Fluctuations in Post-stenotic Patient Specific Carotid Stenosis Fluid Dynamics: A Computational Fluid Dynamics Strategy Study

机译:后静息患者特异性颈动脉狭窄流体动力学的高频波动:一种计算流体动力学策略研究

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Purpose-Screening of asymptomatic carotid stenoses is performed by auscultation of the carotid bruit, but the sensitivity is poor. Instead, it has been suggested to detect carotid bruit as neck's skin vibrations. We here take a first step towards a computational fluid dynamics proof-of-concept study, and investigate the robustness of our numerical approach for capturing high-frequent fluctuations in the post-stenotic flow. The aim was to find an ideal solution strategy from a pragmatic point of view, balancing accuracy with computational cost comparing an under-resolved direct numerical simulation (DNS) approach vs. three common large eddy simulation (LES) models (static/dynamic Smagorinsky and Sigma). Method-We found a reference solution by performing a spatial and temporal refinement study of a stenosed carotid bifurcation with constant flow rate. The reference solution (Ax= 1.92 x 10~4 m, Dt = 5 x 10~5 s was compared against LES for both a constant and pulsatile flow. Results-Only the Sigma and Dynamic Smagorinsky models were able to replicate the flow field of the reference solution for a pulsatile simulation, however the computational cost of the Sigma model was lower. However, none of the sub-grid scale models were able to replicate the high-frequent flow in the peak-systolic constant flow rate simulations, which had a higher mean Reynolds number. Conclusions-The Sigma model was the best combination between accuracy and cost for simulating the pulsatile post-stenotic flow field, whereas for the constant flow rate, the under-resolved DNS approach was better. These results can be used as a reference for future studies investigating high-frequent flow features.
机译:目的筛选无症状颈动脉狭窄的通过颈动脉窝进行,但敏感性差。相反,已经建议检测颈部颈部的皮肤振动。我们在这里对计算流体动力学的概念证明研究进行了第一步,并调查了我们在狭狭窄的流动中捕获高频率波动的数值方法的稳健性。该目的是从务实的角度来看,通过务实的来说,使用计算成本进行平衡准确性,比较了解了解析的直接数值模拟(DNS)方法与三种常见的大型涡模拟(LES)模型(静态/动态Smagorinsky和Sigma)。方法 - 通过以恒定流速进行狭窄的颈动脉分叉的空间和时间细化研究,找到了参考解决方案。参考溶液(AX = 1.92×10〜4 m,与恒定和脉动流程比较LES比较DT = 5×10〜5。结果 - 只有SIGMA和动态SMAGORINSKY模型都能够复制流场脉冲仿真的参考解决方案,但是Sigma模型的计算成本较低。但是,这些子网格级模型都无法复制峰值 - 收缩恒定流量模拟中的高频率流动更高的平均雷诺数。结论 - Σ模型是模拟脉动后狭窄流场的准确性和成本之间的最佳组合,而对于恒定流速,较好的DNS方法更好。这些结果可以使用这些结果作为调查高频繁流动功能的未来研究的参考。

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