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Featured researches published by Liuyang Ding.


Measurement Science and Technology | 2017

N-pulse particle image velocimetry-accelerometry for unsteady flow-structure interaction

Liuyang Ding; Ronald J. Adrian

Flow-structure interaction experiments are a major area of application of instruments capable of simultaneously measuring instantaneous fields of velocity and acceleration. An N-pulse particle image velocimeter-accelerometer (N-P PIVA) employing bursts of N pulses, where N = 3 or 4, and operating in the high-image-density particle seeding mode is described and demonstrated in the context of a representative flow-structure interaction experiment. The instrument employs two double-pulsed lasers and a high-resolution, fast-framing camera to acquire successive particle images having time separations small enough to perform good interpolation or finite differencing. The interrogation procedure locates the same group of particles at each pulse time using multiple cross-correlations, and a predictor-corrector algorithm enhances the strength of the cross-correlations by centering the windows on the particle groups at each time. A flow-structure experiment was performed in liquid surrounding a horizontal cylinder suspended by two thin, flexible, vertical rods from a slider block driven horizontally and sinusoidally. The value of the Keulegan–Carpenter number is and the frequency parameter (or Stokes number) is . Data from 2-, 3- and 4-pulse systems are compared to assess their relative performance. Measurements from the 4-pulse method with interpolation have smaller mean bias errors than the 3-pulse method with interpolation or the 4-pulse method with least squares, but larger random error. To make measurements close to the surface of the cylinder, a method using near-wall transformation and correlation analysis on a transformed grid is developed. Image processing used to determine the position, velocity and acceleration of the center of the cylinder is described. These measurements, together with the N-P PIVA data allow complete evaluation of each term in the exact, stationary control surface formulation of the fluid force applied to the cylinder surface (Noca 1997 PhD Thesis California Institute of Technology, Noca et al 1997 J. Fluids Struct. 11 345–50, 1999 J. Fluids Struct. 13 551–78, Unal et al 1997 J. Fluids Struct. 11 965–71).


PIV13; 10th International Symposium on Particle Image Velocimetry, Delft, The Netherlands, July 1-3, 2013 | 2013

Multiple-pulse PIV: Numerical evaluation and experimental validation

S. Gogineni; Liuyang Ding; S. Discetti; R.J. Adrian


Measurement Science and Technology | 2018

A new method to calculate unsteady particle kinematics and drag coefficient in a subsonic post-shock flow

Ankur D. Bordoloi; Liuyang Ding; Adam Martinez; Katherine Prestridge; Ronald J. Adrian


Bulletin of the American Physical Society | 2017

Particle drag history in a subcritical post-shock flow -- data analysis method and uncertainty

Liuyang Ding; Ankur Bordoloi; Ronald J. Adrian; Kathy Prestridge


Bulletin of the American Physical Society | 2016

On the rms errors and dynamic ranges of triple- and quadruple-pulse particle tracking velocimetry (PTV)

Liuyang Ding; Ronald J. Adrian; Sivaram Gogineni


Bulletin of the American Physical Society | 2015

Advances of Fluid-Structure Interaction Measurements by Multi-Pulse Particle Image Velocimeter/Accelerometer

Liuyang Ding; Ronald J. Adrian; Sivaram Gogineni


Archive | 2014

Optimization and Application of Surface Segmentation Technique

Liuyang Ding; Ronald J. Adrian; Brandon Wilson; Kathy Prestridge


Bulletin of the American Physical Society | 2014

Optimization and Application of Surface Segmentation Technique for Tomographic PIV

Liuyang Ding; Ronald J. Adrian; Brandon Wilson; Kathy Prestridge


Bulletin of the American Physical Society | 2014

New in-situ, non-intrusive calibration

Heather Zunino; Ronald J. Adrian; Liuyang Ding; Kathy Prestridge


Bulletin of the American Physical Society | 2014

Mach number effects on velocity and density measurements in Richtmyer-Meshkov mixing

Brandon Wilson; Ricardo Mejia-Alvarez; Kathy Prestridge; Liuyang Ding

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Kathy Prestridge

Los Alamos National Laboratory

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Brandon Wilson

Los Alamos National Laboratory

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Adam Martinez

Los Alamos National Laboratory

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Ankur D. Bordoloi

Los Alamos National Laboratory

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Katherine Prestridge

Los Alamos National Laboratory

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Ricardo Mejia-Alvarez

Los Alamos National Laboratory

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S. Gogineni

Arizona State University

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