Identification of Coherent Motions using Wall Pressure Signatures.

Abstract

Large amplitude wall-pressure events observed beneath a turbulent boundary layer appear to be signatures of near-wall organized structures. Experimental investigations by the authors and their colleagues have provided strong support for this conjecture. This report contains results from new studies which attempt to identify the distinct structural features and spatial extent of the organized motions from observations of their wall pressure footprints. A database, which contains simultaneous measurements of wall-pressure, and stream-wise and wall-normal velocities at numerous locations across the boundary layer, was used in this investigation. These data are analyzed using signal processing techniques based on a trajectory mapping for the detection of coherent motions. The results show that the organized structures contain both ejection motions (accelerated events) that induce positive wall pressure events; and sweep motions (decelerated events) that induce negative wall pressure events. It is proposed that these structures collectively represent the organized motions. The present research activity is directed at the acquisition of a new database using an array of streamwise and spanwise transducers. By applying bandpass filtering techniques to the data, it is expected that the total pressure signature will become more evident.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1996
Accession Number
ADA314537

Entities

People

  • Mario Casarella
  • Srinath Jayasundera
  • Steven Russell

Organizations

  • The Catholic University of America

Tags

Communities of Interest

  • Air Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Boundaries
  • Boundary Layer
  • Databases
  • Detection
  • Ejection
  • Engineering
  • Filtration
  • Flow
  • Layers
  • Measurement
  • Mechanical Engineering
  • Pattern Recognition
  • Pressure Signatures
  • Recognition
  • Signal Processing
  • Turbulent Boundary Layer
  • Turbulent Flow

Fields of Study

  • Physics

Readers

  • Fluid Mechanics and Fluid Dynamics.
  • Image Processing and Computer Vision.
  • Theoretical Analysis.