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基于粒子图像测速的坡面流水动力学特性
引用本文:杨坪坪,张会兰,王云琦,李瑞.基于粒子图像测速的坡面流水动力学特性[J].农业工程学报,2020,36(17):115-124.
作者姓名:杨坪坪  张会兰  王云琦  李瑞
作者单位:贵州师范大学喀斯特研究院,贵阳 550001;国家喀斯特石漠化防治工程技术研究中心,贵阳 550001;北京林业大学水土保持学院重庆三峡库区森林生态系统教育部野外科学观测研究站,北京 100083;北京林业大学水土保持学院重庆缙云山三峡库区森林生态系统国家定位观测研究站,北京 100083
基金项目:国家自然科学基金(31760243);贵州省科技计划项目(黔科合支撑[2019]2847号,黔科合基础[2018]1112号);贵州省水利厅科研项目(KT201806)
摘    要:粒子图像测速(Particle Image Velocimetry, PIV)技术具有多点同时测量、对水流无干扰的优点,该研究利用高分辨率PIV(分辨率为64 pixels/mm),测量了7组坡面流(水深范围为0.5~1.1 cm,雷诺数范围为1 000~3 000),并测量1组深水明渠紊流作为对照,研究了流速轮廓线和修正系数、紊动强度和雷诺应力、偏态系数和峰度系数的变化规律。结果表明:1)PIV能够有效观测坡面流床面至水面的流速分布。当坡面流流态为过渡流时,流速修正系数随着雷诺数的增加呈对数增加,均值为0.77;2)对比深水明渠紊流的紊动强度,坡面流的流向紊动强度较大,而垂向紊动强度较小,且随着水深及雷诺数的增加,坡面流紊动强度逐渐与深水明渠紊流的特征吻合。深水明渠紊流中受雷诺应力影响的流体占比约80%,而坡面流中受雷诺应力影响的流体占比小于80%,随着雷诺数的增加坡面流中受雷诺应力影响的流体占比变大;3)对比深水明渠紊流的峰度系数,坡面流的峰度系数大部分大于3,表明坡面流较深水明渠紊流出现极端流速事件的概率小。PIV技术有利于实验室研究坡面水力侵蚀的力学机理机制问题。

关 键 词:水动力学  坡面流  流速  粒子图像测速  紊动强度  雷诺应力
收稿时间:2020/3/25 0:00:00
修稿时间:2020/6/2 0:00:00

Hydrodynamic characteristics of overland flow based on particle image velocimetry
Yang Pingping,Zhang Huilan,Wang Yunqi,Li Rui.Hydrodynamic characteristics of overland flow based on particle image velocimetry[J].Transactions of the Chinese Society of Agricultural Engineering,2020,36(17):115-124.
Authors:Yang Pingping  Zhang Huilan  Wang Yunqi  Li Rui
Institution:1.School of Karst Science, Guizhou Normal University, Guiyang 550001, China; 2.State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China;;3. Three-Gorges Area Forest Ecosystem Research Station of Ministry of Education, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; 4.Chongqing Jinyun Forest Eco-System Research Station, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China;
Abstract:Accurate measurement of overland flow velocity along flow depth is critical for hydraulic and soil erosion processes over hill-slopes, yet multipoint velocity along the flow depth has not realized a clear understanding of overland flow characteristics. Particle Image Velocimetry (PIV) breaks through the spatial simple point survey technology limit and not disturbing the flow due to optical measurement. This method could provide rich velocity information for overland flow. To match the shallow depth measurements, the resolution of PIV was improved up to 64 pixels/mm by adding the extension tubes and strengthen the light. Taking advantage of PIV, this study was to explore the hydrodynamics characteristics of overland flow, and the velocity in the streamwise and wall-normal direction were measured. The velocity was obtained by calculating the velocity of corresponding particles for two consecutive images. Experiments were carried out with seven overland flow conditions ensured by previous literature research, featured with flow depth changing from 0.55 to 1.1 cm, Reynolds number from 1 092 to 2 877, and Fraud number from 0.7 to 0.995, while an extra case of deep-water open channel flow was conducted as the control group. The statistical parameters of overland flow were studied, in terms of velocity profiles, correction coefficient, turbulence intensity, skewness, and kurtosis coefficient of instantaneous velocity. Results showed that 1) The velocities from flume bed to free surface were effectively measured using PIV. The correction coefficient equated the ratio of mean velocity to maximum velocity, which widely was used to dye and sault tracing methods, logarithmically increased with increasing Reynolds number when overland flow regimes belong to transition flow. However, the present mean correction coefficient equated to 0.77 in transition flow and was larger than 0.7 that acquired by dye and sault tracing methods. Because of the maximum velocity measured by dye and sault tracing methods were doubtable, the correction coefficient acquired by different methods were discrepant. The PIV had clear physical meanings, that could distinguish maximum and mean velocity. 2) The turbulent intensity was the second moment of instantaneous velocity and represented the pulse of fluid. Compared with deep-water open channel turbulent flow, the turbulence intensity and Reynold stress were not stable for overland flow. The streamwise turbulent intensity of overland flow was larger than that of deep-water open channel turbulent flow, while wall-normal turbulent intensity was smaller. As increasing flow depth and Reynold number, turbulent intensity became stable and closed to that of deep-water open channel turbulent flow. The parts of fluids affected by Reynolds stress was about 80% for deep-water open channel turbulent flow while that was less than 80% for overland flow. Moreover, the parts of fluids affected by Reynolds stress became larger with increasing Reynolds number for overland flow. 3) The skewness and kurtosis coefficient were the third and fourth moments of instantaneous velocity, which described the shape of the probability density function. The higher the order of the moment, the more accuracy of measurement was required. The skewness and kurtosis coefficient of control groups well agreed with the previous study, implying the reliability of the present experiments. The skewness coefficient and the kurtosis coefficient of overland flow were different from deep-water open channel flow and gradually closed to the curve of deep-water open channel flow as increasing flow depth. Based on the features of the skewness coefficient, more instantaneous velocity larger than the mean velocity occurred near the flume bed region, while more instantaneous velocity smaller than the mean velocity occurred near the free surface region. Most parts of the overland flow of the kurtosis coefficient were larger than 3, implying the probability that occurred with excessive velocity for overland flow was lower than that of deep-water open channel turbulent flow, due to the limitation of shallow depth and the coherent structure had not enough space to fully develop. Although PIV is not suitable for field tests and erodible flume bed due to block of camera view, PIV has a unique advantage, i.e. multiple point survey, contactless, and high-frequency measurement. Thus, this method could further apply in the research of soil and water conservation and could help study the water erosion mechanism.
Keywords:hydrodynamics  overland flow  flow velocity  particle image velocimetry  turbulence intensity  Reynolds stress
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