Pressure estimation from single-snapshot tomographic PIV in a turbulent boundary layer

A method is proposed to determine the instantaneous pressure field from a single tomographic PIV velocity snapshot and is applied to a flat-plate turbulent boundary layer. The main concept behind the single-snapshot pressure evaluation method is to approximate the flow acceleration using the vorticity transport equation. The vorticity field calculated from the measured instantaneous velocity is advanced over a single integration time step using the vortex-in-cell (VIC) technique to update the vorticity field, after which the temporal derivative and material derivative of velocity are evaluated. The pressure in the measurement volume is subsequently evaluated by solving a Poisson equation. The procedure is validated considering data from a turbulent boundary layer experiment, obtained with time-resolved tomographic PIV at 10 kHz, where an independent surface pressure fluctuation measurement is made by a microphone. The cross-correlation coefficient of the surface pressure fluctuations calculated by the single-snapshot pressure method with respect to the microphone measurements is calculated and compared to that obtained using time-resolved pressure-from-PIV, which is regarded as benchmark. The single-snapshot procedure returns a cross-correlation comparable to the best result obtained by time-resolved PIV, which uses a nine-point time kernel. When the kernel of the time-resolved approach is reduced to three measurements, the single-snapshot method yields approximately 30 % higher correlation. Use of the method should be cautioned when the contributions to fluctuating pressure from outside the measurement volume are significant. The study illustrates the potential for simplifying the hardware configurations (e.g. high-speed PIV or dual PIV) required to determine instantaneous pressure from tomographic PIV.

[1]  Joseph Katz,et al.  Instantaneous pressure and material acceleration measurements using a four-exposure PIV system , 2006 .

[2]  Kazuo Ohmi,et al.  Numerical processing of flow-visualization pictures – measurement of two-dimensional vortex flow , 1983, Journal of Fluid Mechanics.

[3]  P. Varshney,et al.  Low-Dimensional Approach for Reconstruction of Airfoil Data via Compressive Sensing , 2015 .

[4]  F. Scarano,et al.  Turbulent structure of high-amplitude pressure peaks within the turbulent boundary layer , 2013, Journal of Fluid Mechanics.

[5]  J. Wills,et al.  On convection velocities in turbulent shear flows , 1964, Journal of Fluid Mechanics.

[6]  Fulvio Scarano,et al.  Surface pressure and aerodynamic loads determination of a transonic airfoil based on particle image velocimetry , 2009 .

[7]  Fulvio Scarano,et al.  A particle-tracking approach for accurate material derivative measurements with tomographic PIV , 2013 .

[8]  Dilek Funda Kurtulus,et al.  Unsteady aerodynamic forces estimation on a square cylinder by TR-PIV , 2007 .

[9]  A. Smits,et al.  Wall-bounded turbulent flows at high Reynolds numbers: Recent advances and key issues , 2010 .

[10]  Andrey Vlasenko,et al.  A physics-enabled flow restoration algorithm for sparse PIV and PTV measurements , 2015 .

[11]  Étienne Mémin,et al.  Inflow and initial conditions for direct numerical simulation based on adjoint data assimilation , 2011, J. Comput. Phys..

[12]  Fulvio Scarano,et al.  Lagrangian and Eulerian pressure field evaluation of rod-airfoil flow from time-resolved tomographic PIV , 2011 .

[13]  Andreas Schröder,et al.  Investigation of a turbulent spot and a tripped turbulent boundary layer flow using time-resolved tomographic PIV , 2008 .

[14]  Georges-Henri Cottet,et al.  Advances in direct numerical simulations of 3D wall-bounded flows by Vortex-in-Cell methods , 2004 .

[15]  Takao Suzuki Reduced-order Kalman-filtered hybrid simulation combining particle tracking velocimetry and direct numerical simulation , 2012, Journal of Fluid Mechanics.

[16]  Cameron V. King,et al.  Assessment of pressure field calculations from particle image velocimetry measurements , 2010 .

[17]  Fulvio Scarano,et al.  Counter-hairpin vortices in the turbulent wake of a sharp trailing edge , 2011, Journal of Fluid Mechanics.

[18]  Laurent David,et al.  3-Component acceleration field measurement by dual-time stereoscopic particle image velocimetry , 2006 .

[19]  Richard P. Dwight,et al.  Time-supersampling of 3D-PIV measurements with vortex-in-cell simulation , 2014 .

[20]  F. Scarano,et al.  Navier–Stokes simulations in gappy PIV data , 2012 .

[21]  Joseph Katz,et al.  Vortex-corner interactions in a cavity shear layer elucidated by time-resolved measurements of the pressure field , 2013, Journal of Fluid Mechanics.

[22]  B. W. Oudheusden,et al.  PIV-based pressure measurement , 2013 .

[23]  Fulvio Scarano,et al.  An advection-based model to increase the temporal resolution of PIV time series , 2011, Experiments in fluids.

[24]  Bharathram Ganapathisubramani,et al.  Pressure from particle image velocimetry for convective flows: a Taylor’s hypothesis approach , 2013 .

[25]  Fulvio Scarano,et al.  Material acceleration estimation by four-pulse tomo-PIV , 2014 .

[26]  Fulvio Scarano,et al.  PIV-based pressure fluctuations in the turbulent boundary layer , 2012 .

[27]  Gianluca Iaccarino,et al.  A matching pursuit approach to solenoidal filtering of three-dimensional velocity measurements , 2013, J. Comput. Phys..

[28]  Fulvio Scarano,et al.  Multi-pass light amplification for tomographic particle image velocimetry applications , 2010 .

[29]  I. Orlanski A Simple Boundary Condition for Unbounded Hyperbolic Flows , 1976 .

[30]  Tino Ebbers,et al.  Improving computation of cardiovascular relative pressure fields from velocity MRI , 2009, Journal of magnetic resonance imaging : JMRI.

[31]  J. H. Kaspersen,et al.  Convection velocities in a turbulent boundary layer , 1998 .

[32]  Fulvio Scarano,et al.  Tomographic PIV: principles and practice , 2012 .

[33]  Matteo Bernardini,et al.  On the estimation of wall pressure coherence using time-resolved tomographic PIV , 2013 .

[34]  Takao Suzuki POD-based reduced-order hybrid simulation using the data-driven transfer function with time-resolved PTV feedback , 2014 .

[35]  Ivan Marusic,et al.  Minimisation of divergence error in volumetric velocity measurements and implications for turbulence statistics , 2013 .

[36]  Atle Jensen,et al.  Optimization of acceleration measurements using PIV , 2004 .

[37]  R. Kat,et al.  Instantaneous planar pressure determination from PIV in turbulent flow , 2011, Experiments in Fluids.

[38]  Michel Stanislas,et al.  The accuracy of tomographic particle image velocimetry for measurements of a turbulent boundary layer , 2011 .

[39]  Jürgen Kompenhans,et al.  Fundamentals of multiple plane stereo particle image velocimetry , 2000 .

[40]  Jörn Sesterhenn,et al.  Adjoint based pressure determination from PIV-data Validation with synthetic PIV measurements , 2013 .