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工程科学与技术:2016,48(5):58-65
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非均匀推移质颗粒的扩散与分选试验研究
(四川大学 水力学与山区河流开发保护国家重点实验室 水利水电学院)
Experimental Study on Diffusion and Sorting Characteristics of Mixture Bed load Particles
(State Key Lab. of Hydraulics and Mountain River Eng.,College of Water Resource & Hydropower,Sichuan Univ.)
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投稿时间:2016-02-02    修订日期:2016-05-05
中文摘要: 为研究非均匀的泥沙颗粒同均匀泥沙颗粒扩散特性的不同,开展一系列水槽试验。在不同水力条件下,通过高清摄像技术拍摄不同粒径推移质颗粒的运动轨迹。利用Dxo Viewpoint软件将拍摄得到的静态图片进行矫正处理,使用ImageJ软件提取每个时刻颗粒的位移数据。分析位移均值与方差随时间的变化,得到以下结论:不同的时间尺度上,颗粒将表现出不同的扩散特征;水力条件及粒径范围不同,表现出的颗粒扩散特征也将不同;在长时间尺度上,非均匀推移质颗粒的扩散特征会有逐渐趋向于弹道运动β=2的趋势,这是由于颗粒本身的非均匀导致的分选现象;颗粒的非均匀性越强,颗粒的分选现象出现越快;天然河流的尺度远大于水槽,这种分选现象将会更加明显。
中文关键词: 非均匀  推移质运动  示踪  弹道运动  分选
Abstract:For studying the difference of diffusive characteristics between mixture and uniform particles,sets of flume experiments were conducted.The trajectories of particles with different size were extracted under various particles and hydraulic conditions by using HD camera tecnology.Dxo Viewpoint was applied on image correction,besides,displacement datas of particles were extracted by ImageJ.The relationship between the variance of displacements and time from the data was analyzed.The results showed that,firstly,particles would present different diffusion characteristics at different time scales,for different hydraulic conditions and the ranges of particles.Secondly,the diffusion characteristics of mixture particles would always tend to be ballistic movement (β=2) on large time scale,which corresponded to a sorting phenomenon resulting from the heterogeneity of particle.Thirdly,the stronger the particle’s heterogeneity,the faster sorting phenomenon occured,and lastly in the nature rivers,sorting phenomenon would be more obvious due to the much more larger scale than flume experiments.
文章编号:201600114     中图分类号:    文献标志码:
基金项目:国家自然科学基金资助项目(51509172);国家“十二五”科技支撑计划资助项目(2012BAB05B02);四川大学青年启动基金项目资助(2015SCU11046)
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引用文本:
谢玉姝,范念念,刘兴年.非均匀推移质颗粒的扩散与分选试验研究[J].工程科学与技术,2016,48(5):58-65.
Xie Yushu,Fan Niannian,Liu Xingnian.Experimental Study on Diffusion and Sorting Characteristics of Mixture Bed load Particles[J].Advanced Engineering Sciences,2016,48(5):58-65.