Combined particle image velocimetry/digital image correlation for load estimation

Peng Zhang, Sean D. Peterson, Maurizio Porfiri

Research output: Contribution to journalArticle

Abstract

Particle image velocimetry (PIV) and digital image correlation (DIC) are widely used experimental techniques in fluid mechanics and structural dynamics, respectively. PIV is capable of resolving detailed velocity fields around structures, from which the hydrodynamic loading can be reconstructed. However, PIV is ill-suited to capturing the structural response, which is critical for a complete understanding of the bidirectional coupling between the fluid flow and the structural dynamics. On the other hand, DIC can accurately quantify local deformation of the structure, but does not afford the precise identification of the hydrodynamic loading due to the ill-posed nature of the inverse load estimation process. Here, we explore the feasibility of a combined PIV/DIC technique for the investigation of fluid-structure interactions. Specifically, we study fluid-structure interactions associated with a flexible cantilever plate immersed in a steady unidirectional flow. We demonstrate that the combination of pressure estimation from PIV and deformation measurement through DIC enables the precise identification of the hydrodynamic loading and structural response. The proposed methodology may help in improving our understanding of a number of fluid-structure interaction problems, such as biomimetic propulsion, aeroelasticity of airfoils, and hydrodynamic impact on marine structures.

LanguageEnglish (US)
Pages207-221
Number of pages15
JournalExperimental Thermal and Fluid Science
Volume100
DOIs
StatePublished - Jan 1 2019

Fingerprint

Velocity measurement
Fluid structure interaction
Hydrodynamics
Structural dynamics
Aeroelasticity
Ocean structures
Fluid mechanics
Biomimetics
Steady flow
Airfoils
Propulsion
Flow of fluids

Keywords

  • Flow dynamics
  • Fluid-structure interaction
  • Pressure reconstruction
  • Structural deformation
  • Uncertainty

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Nuclear Energy and Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

Cite this

Combined particle image velocimetry/digital image correlation for load estimation. / Zhang, Peng; Peterson, Sean D.; Porfiri, Maurizio.

In: Experimental Thermal and Fluid Science, Vol. 100, 01.01.2019, p. 207-221.

Research output: Contribution to journalArticle

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