Literature DB >> 32802012

Mixing at double-Tee junctions with unequal pipe sizes in water distribution systems.

Tingchao Yu1, Hongying Qiu1, Jeffrey Yang2, Yu Shao1, Liang Tao1.   

Abstract

Pipe flow mixing with various solute concentrations and flow rates at pipe junctions is investigated. The degree of mixing affects contaminant spread in a water distribution system, and many studies have focused on mixing at the cross junctions; however, only a few have focused on double-Tee junctions of unequal pipe diameters. To investigate the solute mixing at such junctions, a series of experiments was conducted in a turbulent regime (Re = 12,500-50,000) with different Reynolds number ratios and connecting pipe lengths. Dimensionless outlet concentrations were found to depend on mixing mechanism at the impinging interface of junctions, where junctions with a larger pipe diameter ratio were associated with more complete mixing. Further, the inlet Reynolds number ratio affected mixing more strongly than the outlet Reynolds number ratio. Finally, the dimensionless connecting pipe length in a double-Tee played an important and complicated role in the flow mixing. The results were used to develop two-dimensional isopleth maps for the calculation of normalized north outlet concentrations.

Entities:  

Keywords:  double-Tee junctions; solute mixing; unequal pipe sizes; water distribution systems

Year:  2016        PMID: 32802012      PMCID: PMC7425663     

Source DB:  PubMed          Journal:  Water Sci Technol Water Supply        ISSN: 1606-9749            Impact factor:   1.033


  1 in total

1.  Experimental testing and modeling analysis of solute mixing at water distribution pipe junctions.

Authors:  Yu Shao; Y Jeffrey Yang; Lijie Jiang; Tingchao Yu; Cheng Shen
Journal:  Water Res       Date:  2014-03-12       Impact factor: 11.236

  1 in total
  1 in total

1.  Machine-Learning Classification of a Number of Contaminant Sources in an Urban Water Network.

Authors:  Ivana Lučin; Luka Grbčić; Zoran Čarija; Lado Kranjčević
Journal:  Sensors (Basel)       Date:  2021-01-01       Impact factor: 3.576

  1 in total

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