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Influence of near-wall PIV data on recirculation hemodynamics in a patient-specific moderate stenosis: Experimental-numerical comparison

机译:近壁PIV数据对患者特异性中等狭窄中再循环血流动力学的影响:实验 - 数值比较

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BACKGROUND: Recirculation zones within the blood vessels are known to influence the initiation and progression of atherosclerotic lesions. Quantification of recirculation parameters with accuracy remains subjective due to uncertainties in measurement of velocity and derived wall shear stress (WSS).OBJECTIVE: The primary aim is to determine recirculation height and length from PIV experiments while validating with two different numerical methods: finite-element (FE) and -volume (FV). Secondary aim is to analyze how FE and FV compare within themselves.METHODS: PIV measurements were performed to obtain velocity profiles at eight cross sections downstream of stenosis at flow rate of 200 ml/min. WSS was obtained by linear/quadratic interpolation of experimental velocity measurements close to wall.RESULTS: Recirculation length obtained from PIV technique was 1.47 cm and was within 2.2% of previously reported in-vitro measurements. Derived recirculation length from PIV agreed within 6.8% and 8.2% of the FE and FV calculations, respectively. For lower shear rate, linear interpolation with five data points results in least error. For higher shear rate either higher order (quadratic) interpolation with five data points or lower order (linear) with lesser (three) data points leads to better results.CONCLUSION: Accuracy of the recirculation parameters is dependent on number of near wall PIV data points and the type of interpolation algorithm used.
机译:背景:已知血管内的再循环区域影响动脉粥样硬化病变的起始和进展。由于测量速度和衍生墙剪切应力(WSS)的不确定性,预循环参数的定量仍然是主观性。目的:主要目的是通过两种不同的数值方法进行验证,从PIV实验确定再循环高度和长度:有限元(Fe)和-Volume(Fv)。二次目的是分析自己内部的Fe和Fv。方法:进行PIV测量以获得八个横截面的速度谱,其流速为200ml / min的流速。通过靠近壁的实验速度测量的线性/二次插值来获得WSS。结果:从PIV技术获得的再循环长度为1.47厘米,在6.2%的预先报道的体外测量中。来自PIV的衍生再循环长度分别在Fe和Fv计算的6.8%和8.2%内同意。为了降低剪切速率,具有五个数据点的线性插值导致错误。对于更高的剪切速率,具有五个数据点或下顺序(线性)的更高剪切速率(二次)插值,具有较小的(三个)数据点导致更好的结果。结论:再循环参数的准确性取决于靠近壁PIV数据点的数量以及使用的插值算法的类型。

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