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槽道内涡波流场的POD分析
Proper orthogonal decomposition study on vortex wave field Behavior of channel flow
投稿时间:2017-11-16  修订日期:2017-12-11
DOI:
中文关键词:  槽道  涡波流场  2DPIV测量  POD分析  模态重组
英文关键词:channel flow  vortex wave field  2DPIV measurement  POD analyze  mode reconstructed
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
作者单位E-mail
刘阁 重庆工商大学 lycy9945@163.com 
陈彬 重庆工商大学 hustchb@163.com 
金兴 重庆工商大学  
邓阳琴 重庆工商大学  
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中文摘要:
      对槽道内涡波流场的瞬态速度矢量场进行了2DPIV测量实验,将2DPIV测量的矢量场数据进行POD分析,根据POD分解的各阶模态的能量比确定了表征涡波流场主导结构的前15阶模态。结果表明POD分解的前15阶模态表征了槽道内涡波流场是由槽道壁面剪切层诱导的涡列以及伴随的波状主流组成的特征;流场中大尺度的涡旋发展为涡对对波状主流的脉动频率产生影响;根据涡波流场中的驻点和鞍点,获取了流场的大尺度涡对、平均流场以及Helmholtz涡环等明显特征;最后根据POD分解的前15阶模态对槽道内涡波流场进行重组,重组流场表征了槽道内层流状态下波状主流的形态和涡旋共存的涡波结构以及驻点、鞍点的位置处涡旋的变化等主要特征,有效地剔除了PIV测量流场中的随机信息,保留了PIV测量流场的主导特征。
英文摘要:
      Transient velocity vector field of the channel vortex wave field was experimentally carried out using Particle Image Velocimetry(2DPIV), Proper Orthogonal Decomposition (POD) technique was used to analyze the instantaneous velocity fields processing transient velocity field, and the first 15 modes were determined by the mode energy rate represented characteristics of dominated structure of vortex wave field . The results showed that the first 15 modes of POD decomposition represents that the channel vortex wave field is composited with vortex columns and accompanied wavy mainstream induced by channel wall shear layers, the mainstream wavy pulsation frequency is affected by the vortex pair scrolled to the developing of large-scale vortexes ; According to vortex wave field in the stagnation point and the saddle point, distinctive features were obtained i.e. of large-scale vortex pair of the field , an average flow field and Helmholtz vortex ring; accordance with the first 15 modal vortex reconstructed the wave, mode reconstructed field represents the main features of vortex wave structure of wavy mainstream forms, vortex of coexistence conditions, and the characterizes of the vortex flow changes in the stagnation points, saddle point position of field of channel laminar flow, effectively remove the random information of PIV measurements flow field, retain the dominant features PIV measurements flow fields.
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