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首页> 外文期刊>Geosciences >Efficiency of a Digital Particle Image Velocimetry (DPIV) Method for Monitoring the Surface Velocity of Hyper-Concentrated Flows
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Efficiency of a Digital Particle Image Velocimetry (DPIV) Method for Monitoring the Surface Velocity of Hyper-Concentrated Flows

机译：数字粒子图像测速（DPIV）方法用于监测超浓缩流的表面速度的效率

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Digital particle image velocimetry records high resolution images and allows the identification of the position of points in different time instants. This paper explores the efficiency of the digital image-technique for remote monitoring of surface velocity and discharge measurement in hyper-concentrated flow by the way of laboratory experiment. One of the challenges in the application of the image-technique is the evaluation of the error in estimating surface velocity. The error quantification is complex because it depends on many factors characterizing either the experimental conditions or/and the processing algorithm. In the present work, attention is devoted to the estimation error due either to the acquisition time or to the size of the sub-images (interrogation areas) to be correlated. The analysis is conducted with the aid of data collected in a scale laboratory flume constructed at the Hydraulic laboratory of the Department of Civil, Environmental, Aerospace and of Materials Engineering (DICAM)—University of Palermo (Italy) and the image processing is carried out by the help of the PivLab algorithm in Matlab. The obtained results confirm that the number of frames used in processing procedure strongly affects the values of surface velocity; the estimation error decreases as the number of frames increases. The size of the interrogation area also exerts an important role in the flow velocity estimation. For the examined case, a reduction of the size of the interrogation area of one half compared to its original size has allowed us to obtain low values of the velocity estimation error. Results also demonstrate the ability of the digital image-technique to estimate the discharge at given cross-sections. The values of the discharge estimated by applying the digital image-technique downstream of the inflow sections by using the aforementioned size of the interrogation area compares well with those measured.
机译：数字粒子图像测速仪记录高分辨率图像，并允许识别不同时刻的点的位置。本文通过实验室实验探索了数字图像技术在超浓缩流中远程监测表面速度和流量测量的效率。图像技术应用中的挑战之一是评估估计表面速度时的误差。误差量化很复杂，因为它取决于表征实验条件或/和处理算法的许多因素。在当前的工作中，注意力集中在由于获取时间或要相关的子图像（询问区域）的尺寸而引起的估计误差上。该分析是借助在意大利巴勒莫大学民用，环境，航空航天和材料工程系（DICAM）的水力实验室建造的规模实验室水槽中收集的数据进行的，并且进行了图像处理借助Matlab中的PivLab算法。获得的结果证实，加工过程中使用的帧数强烈影响表面速度的值。估计误差随着帧数的增加而减小。询问区域的大小在流速估计中也起着重要作用。对于所检查的情况，与原始尺寸相比，询问区域的尺寸减小了一半，这使我们可以获得较低的速度估计误差值。结果还证明了数字图像技术估计给定横截面放电的能力。通过使用上述询问区域的尺寸通过在流入部分的下游应用数字图像技术而估计的排放值与所测量的值比较良好。

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