Efficient sensing of von Karman vortices using compressive sensing

Bayındır C., Namli B.

COMPUTERS & FLUIDS, cilt.226, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 226
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1016/j.compfluid.2021.104975
  • Dergi Adı: COMPUTERS & FLUIDS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, Computer & Applied Sciences, INSPEC, MathSciNet, Metadex, zbMATH, Civil Engineering Abstracts
  • Anahtar Kelimeler: Von Karman vortices, Compressive sensing, Time series of drag and lift, Sparse signal, CIRCULAR-CYLINDER, SIGNAL RECOVERY, TRAVELING-WAVE, VORTEX STREET, NUMBER, WIND, FLOW
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

In this paper, we discuss the usage and implementation of the compressive sensing (CS) for the efficient measurement and analysis of the von Karman vortices. We consider two different flow fields, the flow fields around a circle and an ellipse. We solve the governing k - c transport equations numerically in order to model the flow fields around these bodies. Using the time series of the drag, C-D, and the lift, C-L, coefficients, and their Fourier spectra, we show that compressive sampling can be effectively used to measure and analyze Von Karman vortices. We discuss the effects of the number of samples on reconstruction and the benefits of using compressive sampling over the classical Shannon sampling in the flow measurement and analysis where Von Karman vortices are present. We comment on our findings and indicate their possible usage areas and extensions. Our results can find many important applications including but are not limited to measure, control, and analyze vibrations around coastal and offshore structures, bridges, aerodynamics, and Bose-Einstein condensation, just to name a few. (C) 2021 Elsevier Ltd. All rights reserved.