Twenty years of particle image velocimetry

By Ronald J. Adrian. 2005

1,446 citations recorded by the source corpus.

Subfields: Computational Mechanics, Environmental Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/7232ab4647e2fd85ecb7dad1775e1dc856626a54

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In Computational Mechanics

In Environmental Engineering

In Ocean Engineering

Citations in the corpus

Digital particle image velocimetry (DPIV) robust phase correlation (2009, methodology): “Although a vast amount of research is dedicated to the development of advanced algorithms, improvements on the fundamental processing technique are still needed [2].”
Estimation of uncertainty bounds for individual particle image velocimetry measurements from cross-correlation peak ratio (2013, methodology): “Particle image velocimetry (PIV) is established as a robust and accurate method for non-invasive fluid velocity measurements [1, 2].”
Three-dimensional synthetic aperture particle image velocimetry (2010, methodology): “The evolution of 2D PIV is described by Adrian [1] and is not reviewed here.”
Analysis of image series through global digital image correlation (2012, background): “The same type of approach was developed independently in the context of fluid mechanics (i.e., particle image velocimetry or PIV [5]) starting in the late 1970’s [7, 8, 9].”
On the use of helium-filled soap bubbles for large-scale tomographic PIV in wind tunnel experiments (2015, background): “(2011) and Atkinson et al. (2011), which did not exceed 52 cm.”
Organism traits determine the strength of scale-dependent bio-geomorphic feedbacks: A flume study on three intertidal plant species (2013, neutral): “Particle Image Velocimetry (PIV) measurements were used to measure current velocities at the water surface over a larger spatial scale, by tracking over time the movement of particles floating with the water (for review, see Adrian, 2005 and references therein).”
Recent Advances in Micro-Particle Image Velocimetry (2010, neutral): “Regardless of the choice of particle type, particle size must be optimized carefully such that it is sufficiently small compared to the length scale of the flow, so that it follows the flow faithfully and does not clog the device (Sharp & Adrian 2005).”