University of Illinois Urbana-Champaign

Experimental study of flow and turbulence characteristics in open channel flow: A comparative analysis of adv data trimming methods

Lee, JaeYoung

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https://hdl.handle.net/2142/125735

Description

Title
Experimental study of flow and turbulence characteristics in open channel flow: A comparative analysis of adv data trimming methods
Author(s)
Lee, JaeYoung
Issue Date
2024-07-19
Director of Research (if dissertation) or Advisor (if thesis)
Garcia, Marcelo H
Department of Study
Civil & Environmental Eng
Discipline
Environ Engr in Civil Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
  • Fluid Mechanics
  • Turbulent
  • Open Channel Flow
  • LOWST
Abstract
This thesis investigates the application of Acoustic Doppler Velocimeters (ADV) in analyzing open channel flows under turbulent conditions in the Large Oscillatory Water-Sediment Tunnel (LOWST) at the Ven Te Chow Hydrosystems Laboratory. The test section of the tunnel is 12 meters long, with internal dimensions of 0.8 meters in width and 1.2 meters in height, which are sufficient for fully developed turbulent flow. Different flow velocity scenarios were examined to assess alterations in hydraulic parameters, specifically the universal log-law and velocity defect law. These parameters are critical for understanding flow characteristics and improving measurement accuracy. The thesis distinctly emphasizes the comparison of four different ADV data trimming techniques to determine their impact on data reliability and quality. Additionally, the friction velocity was calculated using various methodologies, among which the Clauser chart method derived from measurements showed optimal match with theoretical values. This research underscores the importance of proper ADV data processing and provides a robust framework for employing advanced techniques to enhance the precision and applicability of flow measurements in hydraulic engineering. The findings demonstrate that refined data, rather than raw ADV outputs, are essential for a more accurate depiction of flow dynamics, potentially influencing future research and practices in the field.
Graduation Semester
2024-08
Type of Resource
Thesis
Handle URL
https://hdl.handle.net/2142/125735
Copyright and License Information
Copyright 2024 JaeYoung Lee

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