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An aerodynamic database of synchronized surface pressure and flow field for 2D rectangular cylinders

  • Junle Liu
  • , K. T. Tse
  • , Gang Hu*
  • *Corresponding author for this work
  • Hong Kong University of Science and Technology
  • Harbin Institute of Technology Shenzhen

Research output: Contribution to journalArticlepeer-review

Abstract

Flow field and pressure measurements are typically conducted independently in the wind tunnel. Consequently, a comprehensive aerodynamic database, incorporating synchronized flow and pressure fields for rectangular cylinders, is notably lacking despite its paramount importance in both fundamental research and engineering applications. In this study, a synchronized particle image velocimetry (PIV) and multi-point pressure scanning (SPMPS) test method is employed to simultaneously capture the synchronized flow and pressure fields of rectangular cylinders with a low sampling frequency of 15Hz. Rectangular cylinders with multiple side ratios ranging from 0.4 to 5 under a number of wind angles of attack ranging from 0 to 90 with 5-degree interval were tested in close-loop wind tunnel with less than 0.4% turbulence intensity, thereby establishing a unique synchronized aerodynamic database for rectangular cylinders with a total of 299 cases. Additionally, a deep neural network model was trained to predict mean pressure coefficients for rectangular cylinders with arbitrary side ratios less than 5 and various angles of attack, significantly enhancing the comprehensiveness of the database.

Original languageEnglish
Article number119506
JournalEngineering Structures
Volume326
DOIs
StatePublished - 1 Mar 2025
Externally publishedYes

Keywords

  • Database
  • Deep learning
  • PIV
  • Rectangular cylinder
  • Wind tunnel testing

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