• Acta Photonica Sinica
  • Vol. 52, Issue 3, 0352103 (2023)
Muhammad Bilal1、2、* and Zhenyu TIAN1、2
Author Affiliations
  • 1Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • show less
    DOI: 10.3788/gzxb20235203.0352103 Cite this Article
    Muhammad Bilal, Zhenyu TIAN. Recent Development and Applications of Particle Image Velocimetry from Laboratory to Industry(Invited)[J]. Acta Photonica Sinica, 2023, 52(3): 0352103 Copy Citation Text show less
    References

    [1] R J ADRIAN. Scattering particle characteristics and their effect on pulsed laser measurements of fluid flow: speckle velocimetry vs particle image velocimetry. Applied Optics, 23, 1690-1691(1984).

    [2] R J ADRIAN. Twenty years of particle image velocimetry. Experiments in Fluids, 39, 159-169(2005).

    [3] D B BARKER, M E FOURNEY. Measuring fluid velocities with speckle patterns. Optics Letters, 1, 135-137(1977).

    [4] T D DUDDERAR, P G SIMPKINS. Laser speckle photography in a fluid medium. Nature, 270, 45-47(1977).

    [5] R GROUSSON, S MALLICK. Study of flow pattern in a fluid by scattered laser light. Applied Optics, 16, 2334-2336(1977).

    [6] L ADRIAN, RJ ADRIAN, J WESTERWEEL. Particle image velocimetry(2011).

    [7] M RAFFEL, CE WILLERT, F SCARANO et al. Particle image velocimetry: a practical guide(2018).

    [8] G AKBARI, N MONTAZERIN. Subgrid-scale stress parameterization for anisotropic turbomachinery flow as deduced from stereoscopic particle image velocimetry measurements. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 41, 1-19(2019).

    [9] A CAPONE, F ALVES PEREIRA, A MAIOCCHI et al. Analysis of the hull wake of a twin-screw ship in steady drift by borescope stereo particle image velocimetry. Applied Ocean Research, 92, 101914(2019).

    [10] M EL-ADAWY, M R HEIKAL, A R AZIZ. Stereoscopic particle image velocimetry measurements and proper orthogonal decomposition analysis of the in-cylinder flow of gasoline direct injection engine. Journal of Energy Resources Technology, 141, 042204-042217(2019).

    [11] M HIRATSUKA, S ITO, K MIYASAKA et al. Stereo three-dimensional particle image velocimetry measurement and aerodynamic force analysis of non-spinning soccer balls. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 146-153(2020).

    [12] E HITIMANA, R O FOX, J C HILL et al. Experimental characterization of turbulent mixing performance using simultaneous stereoscopic particle image velocimetry and planar laser-induced fluorescence. Experiments in Fluids, 60, 1-13(2019).

    [13] D KIM, D KIM, M KIM et al. Velocity field measurement on natural convection inside an automotive headlamp using time-resolved stereoscopic particle image velocimetry. International Journal of Heat and Fluid Flow, 77, 19-30(2019).

    [14] X WEN, J LIU, D KIM et al. Study on three-dimensional flow structures of a sweeping jet using time-resolved stereo particle image velocimetry. Experimental Thermal and Fluid Science, 110, 109945-109956(2020).

    [15] G JACOBI, C H THILL, R VAN'T VEER et al. Analysis of the influence of an interceptor on the transom flow of a fast ship by pressure reconstruction from stereoscopic scanning PIV. Ocean Engineering, 181, 281-292(2019).

    [16] Y N NGUYEN, F KABINEJADIAN, M ISMAIL et al. Ex vivo assessment of bicuspidization repair in treating severe functional tricuspid regurgitation: a stereo-scopic PIV study. Scientific Reports, 9, 1-13(2019).

    [17] J VOORNEVELD, L B H KEIJZER, M STRACHINARU et al. High-frame-rate echo-particle image velocimetry can measure the high-velocity diastolic flow patterns. Circ Cardiovasc Imaging, 12, e008856(2019).

    [18] J VOORNEVELD, H SAAID, C SCHINKEL et al. 4-D echo-particle image velocimetry in a left ventricular phantom. Ultrasound Med Biol, 46, 805-817(2020).

    [19] A A AGUIRRE-PABLO, M K ALARFAJ, E Q LI et al. Tomographic particle image velocimetry using smartphones and colored shadows. Scientific Reports, 7, 3714(2017).

    [20] M KHASHEHCHI, Z HARUN. Accuracy of tomographic particle image velocimetry data on a turbulent round jet. International Journal of Heat and Fluid Flow, 77, 61-72(2019).

    [21] C ROLOFF, D STUCHT, O BEUING et al. Comparison of intracranial aneurysm flow quantification techniques: standard PIV vs stereoscopic PIV vs tomographic PIV vs phase-contrast MRI vs CFD. Journal of NeuroInterventional Surgery, 11, 275-282(2019).

    [22] C WANG, Q GAO, J WANG et al. Experimental study on dominant vortex structures in near-wall region of turbulent boundary layer based on tomographic particle image velocimetry. Journal of Fluid Mechanics, 874, 426-454(2019).

    [23] B ZHANG, B LUAN, J DONG et al. Simultaneous deflection tomography and PIV measurements of non-premixed combustion. Optics and Lasers in Engineering, 127, 105944-105951(2020).

    [24] S MATT, G NOOTZ, S HELLMAN et al. Effects of optical turbulence and density gradients on particle image velocimetry. Scientific Reports, 10, 2130-2141(2020).

    [25] S FILATYEV, M THARIYAN, R LUCHT et al. Simultaneous stereo particle image velocimetry and double-pulsed planar laser-induced fluorescence of turbulent premixed flames. Combustion and Flame, 150, 201-209(2007).

    [26] Z ZHANG, D SETH, S K ARTHAM et al. Time-resolved flowfield measurements of momentum-driven pulsed transient jets. AIAA Journal, 56, 1434-1446(2018).

    [27] B LEWANDOWSKI, M FERTIG, G KREKE et al. Analysis of wake structures in bubbly flowsusing Particle Image Velocimetry (PIV). Chemical and Process Engineering, 40, 49-55(2019).

    [28] K DENG, Y ZHONG, M WANG et al. Effects of acoustic excitation on the combustion instability of hydrogen-methane lean premixed swirling flames. ACS Omega, 5, 8744-8753(2020).

    [29] T KÄUFER, J KÖNIG, C CIERPKA. Stereoscopic PIV measurements using low-cost action cameras. Experiments in Fluids, 62, 1-16(2021).

    [30] G FRUCHTEL, E P HASSEL, J JANICKA. Turbulent length scales in a swirling flame, 195-202(1996).

    [31] E P HASSEL, S LINOW. Laser diagnostics for studies of turbulent combustion. Measurement Science and Technology, 11, R37-R57(2000).

    [32] S G TUTTLE, C D CARTER, K Y HSU. Particle image velocimetry in a nonreacting and reacting high-speed cavity. Journal of Propulsion and Power, 30, 576-591(2014).

    [33] M DAGHRAH, Z WANG, Q LIU et al. Characterization of oil flow within radial cooling ducts of disc type transformer windings using particle image velocimetry. IEEE Electrical Insulation Magazine, 35, 9-17(2019).

    [34] F AHMADI, M EBRAHIMIAN, R S SANDERS et al. Particle image and tracking velocimetry of solid-liquid turbulence in a horizontal channel flow. International Journal of Multiphase Flow, 112, 83-99(2019).

    [35] L LI, H YAN. A robust filtering algorithm based on the estimation of tracer visibility and stability for large scale particle image velocimetry. Flow Measurement and Instrumentation, 102204-102215(2022).

    [36] S A CLÉMENT, M A ANDRÉ, P M BARDET. Multi-spatio-temporal scales PIV in a turbulent buoyant jet discharging in a linearly stratified environment. Experimental Thermal and Fluid Science, 129, 110429(2021).

    [37] J WESTERWEEL, D DABIRI, M GHARIB. The effect of a discrete window offset on the accuracy of cross-correlation analysis of digital PIV recordings. Experiments in Fluids, 23, 20-28(1997).

    [38] S T WERELEY, C D MEINHART. Second-order accurate particle image velocimetry. Experiments in Fluids, 31, 258-268(2001).

    [39] L GUI, S WERELEY. A correlation-based continuous window-shift technique to reduce the peak-locking effect in digital PIV image evaluation. Experiments in Fluids, 32, 506-517(2002).

    [40] F SCARANO, M L RIETHMULLER. Iterative multigrid approach in PIV image processing with discrete window offset. Experiments in Fluids, 26, 513-523(1999).

    [41] H HUANG, H FIEDLER, J WANG. Limitation and improvement of PIV. I: Limitation of conventional techniques due to deformation of particle image patterns. Experiments in Fluids, 15, 168-174(1993).

    [42] K JAMBUNATHAN, X JU, B DOBBINS et al. An improved cross correlation technique for particle image velocimetry. Measurement Science and Technology, 6, 507(1995).

    [43] C E WILLERT, M GHARIB. Digital particle image velocimetry. Experiments in Fluids, 10, 181-193(1991).

    [44] A ECKSTEIN, P P VLACHOS. Assessment of advanced windowing techniques for digital particle image velocimetry (DPIV). Measurement Science and Technology, 20, 075402(2009).

    [45] D P HART. Super-resolution PIV by recursive local-correlation. Journal of Visualization, 3, 187-194(2000).

    [46] F G ERGIN. An automatic static masking technique using particle image velocimetry image ensembles. Experimental Thermal and Fluid Science, 128, 110431-110439(2021).

    [47] B F ALEXANDER, K C NG. Elimination of systematic error in subpixel accuracy centroid estimation. Optical Engineering, 30, 1320-1332(1991).

    [48] J S MORGAN, D SLATER, J G TIMOTHY et al. Centroid position measurements and subpixel sensitivity variations with the MAMA detector. Applied Optics, 28, 1178-1192(1989).

    [49] L LOURENCO, A KROTHAPALLI. On the accuracy of velocity and vorticity measurements with PIV. Experiments in Fluids, 18, 421-428(1995).

    [50] T RÖSGEN. Optimal subpixel interpolation in particle image velocimetry. Experiments in Fluids, 35, 252-256(2003).

    [51] J CHEN, J KATZ. Elimination of peak-locking error in PIV analysis using the correlation mapping method. Measurement Science and Technology, 16, 1605(2005).

    [52] K CHRISTENSEN. The influence of peak-locking errors on turbulence statistics computed from PIV ensembles. Experiments in Fluids, 36, 484-497(2004).

    [53] A FINCHAM, G SPEDDING. Low cost, high resolution DPIV for measurement of turbulent fluid flow. Experiments in Fluids, 23, 449-462(1997).

    [54] A PRASAD, R ADRIAN, C LANDRETH et al. Effect of resolution on the speed and accuracy of particle image velocimetry interrogation. Experiments in Fluids, 13, 105-116(1992).

    [55] J WESTERWEEL. Effect of sensor geometry on the performance of PIV interrogation, 37-55(2000).

    [56] L GUI, W MERZKIRCH, R FEI. A digital mask technique for reducing the bias error of the correlation-based PIV interrogation algorithm. Experiments in Fluids, 29, 30-35(2000).

    [57] Q LIAO, E A COWEN. An efficient anti-aliasing spectral continuous window shifting technique for PIV. Experiments in Fluids, 38, 197-208(2005).

    [58] J NOGUEIRA, A LECUONA, P RODRIGUEZ. Identification of a new source of peak locking, analysis and its removal in conventional and super-resolution PIV techniques. Experiments in Fluids, 30, 309-316(2001).

    [59] H HUANG, D DABIRI, M GHARIB. On errors of digital particle image velocimetry. Measurement Science and Technology, 8, 1427(1997).

    [60] J ROHALY, F FRIGERIO, D HART. Reverse hierarchical PIV processing. Measurement Science and Technology, 13, 984(2002).

    [61] H NOBACH, N DAMASCHKE, C TROPEA et al. Cross sectional area difference method for backscatter particle sizing(2002).

    [62] J NOGUEIRA, A LECUONA, P RODRIGUEZ. Local field correction PIV: on the increase of accuracy of digital PIV systems. Experiments in Fluids, 27, 107-116(1999).

    [63] A FINCHAM, G DELERCE. Advanced optimization of correlation imaging velocimetry algorithms. Experiments in Fluids, 29, S013-S022(2000).

    [64] H HUANG, H FIEDLER, J WANG. Limitation and improvement of PIV. Experiments in Fluids, 15, 263-273(1993).

    [65] B LECORDIER. Etude de l'interaction de la propagation d'une flamme prémélangée avec le champ aérodynamique, par association de la tomographie laser et de la vélocimétrie par images de particules. Rouen(1997).

    [66] F SCARANO. Iterative image deformation methods in PIV. Measurement Science and Technology, 13, R1(2001).

    [67] F SCARANO, ML RIETHMULLER. Advances in iterative multigrid PIV image processing. Experiments in Fluids, 29, S051-S060(2000).

    [68] T ASTARITA. Analysis of velocity interpolation schemes for image deformation methods in PIV. Experiments in Fluids, 45, 257-266(2008).

    [69] F SCARANO. Laser photothermal velocimeter by compulsorily operating point locked optical-deflection-probe(2004).

    [70] F SCHRIJER, F SCARANO. Effect of predictor–corrector filtering on the stability and spatial resolution of iterative PIV interrogation. Experiments in Fluids, 45, 927-941(2008).

    [71] P TOKUMARU, P DIMOTAKIS. Image correlation velocimetry. Experiments in Fluids, 19, 1-15(1995).

    [72] H NOBACH, E BODENSCHATZ. Limitations of accuracy in PIV due to individual variations of particle image intensities. Experiments in Fluids, 47, 27-38(2009).

    [73] A SCIACCHITANO. Uncertainty quantification in particle image velocimetry. Measurement Science and Technology, 30, 0920001(2019).

    [74] J NOGUEIRA, M LEGRAND, R JIMENEZ et al. Peak-locking full characterization: PIV error assessment and velocity ensemble measurement correction. Measurement Science and Technology, 32, 114005(2021).

    [75] C ANGELBERGER, F ZHAO, M LIU et al. Multi-plane time-resolved Particle Image Velocimetry (PIV) flow field measurements in an optical Spark-Ignition Direct-Injection (SIDI) engine for Large-Eddy Simulation (LES) model validations. Oil & Gas Science and Technology, 74, 52-70(2019).

    [76] D BRADLEY, M LAWES, M E MORSY. Flame speed and particle image velocimetry measurements of laminar burning velocities and Markstein numbers of some hydrocarbons. Fuel, 243, 423-432(2019).

    [77] M A BREND, P A DENMAN, J F CARROTTE. Volumetric PIV measurement for capturing the port flow characteristics within annular gas turbine combustors. Experiments in Fluids, 61, 1-17(2020).

    [78] S JEVNIKAR, K SIDDIQUI. Investigation of the influence of heat source orientation on the transient flow behavior during PCM melting using particle image velocimetry. Journal of Energy Storage, 25, 100825(2019).

    [79] Y OSTOVAN, M T AKPOLAT, O UZOL. Experimental investigation of the effects of winglets on the tip vortex behavior of a model horizontal axis wind turbine using particle image velocimetry. Journal of Solar Energy Engineering, 141, 011006-011018(2019).

    [80] A WU, S KEUM, M GREENE et al. Comparison of near-wall flow and heat transfer of an internal combustion engine using particle image velocimetry and computational fluid dynamics. Journal of Energy Resources Technology, 141, 122202-122201(2019).

    [81] C ZHANG, H JU, D ZHANG et al. PIV measurement and numerical investigation on flow characteristics of simulated fast reactor fuel subassembly. Nuclear Engineering and Technology, 52, 897-907(2020).

    [82] Z ZHANG, H MA. Particle Image Velocimetry (PIV) investigation of blade and purge flow impacts on inter-stage flow field in a research turbine. Energies, 12, 1240-1260(2019).

    [83] H TOMBUL, A M OZBAYOGLU, M E OZBAYOGLU. Computational intelligence models for PIV based particle (cuttings) direction and velocity estimation in multi-phase flows. Journal of Petroleum Science and Engineering, 172, 547-558(2019).

    [84] Z ZHANG, H MA. Application of phase-locked PIV technique to the measurements of flow field in a turbine stage. Journal of Thermal Science, 29, 784-792(2020).

    [85] R CRESSALL, R SCHAAP, D R NEAL et al. Accuracy of volumetric flow rate inflow/outflow measurement by integrating PIV velocity fields. Measurement Science and Technology, 31, 115303(2020).

    [86] M MURAKAMI, S TAKADA. PIV measurement of flow field generated during noisy film boiling in saturated He II. Cryogenics, 108, 103083(2020).

    [87] J ZHANG, S BHATTACHARYA, P P VLACHOS. Using uncertainty to improve pressure field reconstruction from PIV/PTV flow measurements. Experiments in Fluids, 61, 1-20(2020).

    [88] E VARON, J L AIDER, Y EULALIE et al. Adaptive control of the dynamics of a fully turbulent bimodal wake using real-time PIV. Experiments in Fluids, 60, 1-21(2019).

    [89] R F BREIMAN, L COSMAS, M K NJENGA et al. Severe acute respiratory infection in children in a densely populated urban slum in Kenya, 2007-2011. Bmc Infectious Diseases, 15, 1-11(2015).

    [90] G LI, Q CHEN, Y LIU. Experimental study on dynamic structure of propeller tip vortex. Polish Maritime Research, 27, 11-18(2020).

    [91] C V LIEW, L K WANG, P W S HENG. Development of a visiometric process analyzer for real-time monitoring of bottom spray fluid-bed coating. Journal of Pharmaceutical Sciences, 99, 346-356(2010).

    [92] R M MILLER, X ZHANG, A D MAXWELL et al. Bubble-induced color doppler feedback for histotripsy tissue fractionation. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, 63, 408-419(2016).

    [93] F MOMEY, J G COUTARD, T BORDY et al. Dynamics of cell and tissue growth acquired by means of extended field of view lensfree microscopy. Biomedical Optics Express, 7, 512-524(2016).

    [94] A STUMPF, E AUGEREAU, J BONNIER et al. Photogrammetric discharge monitoring of torrential rivers. Houille Blanche-Revue Internationale De L Eau, 66-74(2018).

    [95] T SAXTON-FOX, L DING, A SMITS et al. Coherent structure deformation in a turbulent pipe flow with a spatially-developing pressure gradient. 11th International Symposium on Turbulence and Shear Flow Phenomena(2019).

    [96] A FUJIWARA, Y DANMOTO, K HISHIDA et al. Bubble deformation and flow structure measured by double shadow images and PIV/LIF. Experiments in Fluids, 36, 157-165(2004).

    [97] J AL-MUHAMMAD, S TOMAS, N AIT-MOUHEB et al. Experimental and numerical characterization of the vortex zones along a labyrinth milli-channel used in drip irrigation. International Journal of Heat and Fluid Flow, 80, 108500(2019).

    [98] R BAI, D ZHU, H CHEN et al. Laboratory study of secondary flow in an open channel bend by using PIV. Water, 11, 659-673(2019).

    [99] J S YOON, J H PARK, Y K CHO et al. Experiments on efficiency review of new-type screens for waste treatment in the drainage canal. Journal of Coastal Research, 91, 266(2019).

    [100] K SHIONO, Y MUTO, DW KNIGHT et al. Energy losses due to secondary flow and turbulence in meandering channels with overbank flows. Journal of Hydraulic Research, 37, 641-664(1999).

    [101] A H D F AVELAR, M A G E STÓFEL, G D VIEIRA et al. Analysis of leaflet flutter in biological prosthetic heart valves using PIV measurements. Acta Scientiarum Technology, 42, e41746(2019).

    [102] W H HO, I J TSHIMANGA, M N NGOEPE et al. Evaluation of a desktop 3D printed rigid refractive-indexed-matched flow phantom for PIV measurements on cerebral aneurysms. Cardiovasc Eng Technol, 11, 14-23(2020).

    [103] Y LI, D I VERRELLI, W YANG et al. A pilot validation of CFD model results against PIV observations of haemodynamics in intracranial aneurysms treated with flow-diverting stents. Journal of Biomechanics, 100, 109590(2020).

    [104] W THIELICKE. The flapping flight of birds(2014).

    [105] X ZHOU, V PAPADOPOULOU, C H LEOW et al. 3-D flow reconstruction using divergence-free interpolation of multiple 2-D contrast-enhanced ultrasound particle imaging velocimetry measurements. Ultrasound Med Biol, 45, 795-810(2019).

    [106] G ZHU, Y WEI, Q YUAN et al. PIV investigation of the flow fields in subject-specific vertebro-basilar (VA-BA) junction. Biomed Eng Online, 18, 1-19(2019).

    [107] P BOUILLOT, O BRINA, R OUARED et al. Particle imaging velocimetry evaluation of intracranial stents in sidewall aneurysm: hemodynamic transition related to the stent design. Plos One, 9, e113762(2014).

    [108] H PARK, E YEOM, S J LEE. X-ray PIV measurement of blood flow in deep vessels of a rat: an in vivo feasibility study. Scientific Reports, 6, 1-8(2016).

    [109] Y GAO, XY YANG, C FU et al. 10 kHz simultaneous PIV/PLIF study of the diffusion flame response to periodic acoustic forcing. Applied Optics, 58, E112-E120(2019).

    [110] K KUZUU, S HASEGAWA. Reconstruction of an acoustic pressure field in a resonance tube by particle image velocimetry. The Journal of the Acoustical Society of America, 138, 3160-3168(2015).

    [111] Y S LIOU, X J KANG, W H TIEN. Particle aggregation and flow patterns induced by ultrasonic standing wave and acoustic streaming: An experimental study by PIV and PTV. Experimental Thermal and Fluid Science, 106, 78-86(2019).

    [112] A LODERMEYER, M TAUTZ, S BECKER et al. Aeroacoustic analysis of the human phonation process based on a hybrid acoustic PIV approach. Experiments in Fluids, 59, 1-15(2017).

    [113] S K MISHRA, P RANA, S P SAHOO et al. Characterization of dye cells for a high-repetition-rate pulsed dye laser by particle image velocimetry (PIV). Laser Physics, 29, 065001(2019).

    [114] J J O'SULLIVAN, C J U ESPINOZA, O MIHAILOVA et al. Characterisation of flow behaviour and velocity induced by ultrasound using particle image velocimetry (PIV): effect of fluid rheology, acoustic intensity and transducer tip size. Ultrason Sonochem, 48, 218-230(2018).

    [115] S OKTAMULIANI, N KANNO, M MAEDA et al. Validation of echodynamography in comparison with particle-image velocimetry. Ultrason Imaging, 41, 336-352(2019).

    [116] M SHAABAN, A MOHANY. Phase-resolved PIV measurements of flow over three unevenly spaced cylinders and its coupling with acoustic resonance. Experiments in Fluids, 60, 1-14(2019).

    [117] R ISLAM, M SHAABAN, A MOHANY. Phase-Locked PIV measurements of vortex shedding characteristics downstream of straight circular finned cylinders during acoustic resonance(2019).

    [118] W-LCHUANG , C-BCHOU , K-A CHANG et al. Atmospheric motion vectors derived from an infrared window channel of a geostationary satellite using particle image velocimetry. Journal of Applied Meteorology and Climatology, 58, 199-211(2019).

    [119] J NAVES, J ANTA, J PUERTAS et al. Using a 2D shallow water model to assess Large-Scale Particle Image Velocimetry (LSPIV) and Structure from Motion (SfM) techniques in a street-scale urban drainage physical model. Journal of Hydrology, 575, 54-65(2019).

    [120] A PATEL, J K DHARPURE, SNEHMANI et al. Estimating surface ice velocity on Chhota Shigri glacier from satellite data using Particle Image Velocimetry (PIV) technique. Geocarto International, 34, 335-347(2017).

    [121] H BERGER, R LANGLAND, CS VELDEN et al. Impact of enhanced satellite-derived atmospheric motion vector observations on numerical tropical cyclone track forecasts in the western north pacific during TPARC/TCS-08. Journal of Applied Meteorology and Climatology, 50, 2309-2318(2011).

    [122] A BENETAZZO, M GAMBA, F BARBARIOL. Unseeded large scale PIV measurements corrected for the capillary-gravity wave dynamics. Rendiconti Lincei, 28, 393-404(2017).

    [123] SMSBIN ASAD, T S LUNDSTRÖM, A G ANDERSSON et al. Wall shear stress measurement on curve objects with PIV in connection to benthic fauna in regulated rivers. Water, 11, 650(2019).

    [124] J E COSTA, R T CHENG, F P HAENI et al. Use of radars to monitor stream discharge by noncontact methods. Water Resources Research, 42, 1-14(2006).

    [125] X GAO, Q SONG, B SUN et al. PIV experimental study on the flow characteristics upstream of a floating intake in nonlinear stratified ambient conditions. Environmental Fluid Mechanics, 19, 1005-1024(2019).

    [126] T JIN, Q LIAO. Application of large scale PIV in river surface turbulence measurements and water depth estimation. Flow Measurement and Instrumentation, 67, 142-152(2019).

    [127] W LI, Q LIAO, Q RAN. Stereo-imaging LSPIV (SI-LSPIV) for 3D water surface reconstruction and discharge measurement in mountain river flows. Journal of Hydrology, 578, 124099(2019).

    [128] M LV, Y MAO, M XIA et al. Particle image velocimetry and numerical studies of artificial upwelling via differential heating in open surroundings. Revista Internacional de Contaminación Ambiental, 35, 53-63(2019).

    [129] M MUSTE, I FUJITA, A HAUET. Large-scale particle image velocimetry for measurements in riverine environments. Water Resources Research, 44, 1-14(2008).

    [130] Q H RAN, W LI, Q LIAO et al. Application of an automated LSPIV system in a mountainous stream for continuous flood flow measurements. Hydrological Processes, 30, 3014-3029(2016).

    [131] D STRELNIKOVA, G PAULUS, S KÄFER et al. Drone-based optical measurements of heterogeneous surface velocity fields around fish passages at hydropower dams. Remote Sensing, 12, 384-408(2020).

    [132] M T YEH, Y-NCHUNG , Y X HUANG et al. Applying adaptive LS-PIV with dynamically adjusting detection region approach on the surface velocity measurement of river flow. Computers & Electrical Engineering, 74, 466-482(2019).

    [133] D ZHAO, C GUO, T WU et al. Hydrodynamic interactions between bracket and propeller of podded propulsor based on particle image velocimetry test. Water, 11, 1142(2019).

    [134] T O GUEDES, R A PEREIRA, F P RIVIEIRA et al. Particle image velocimetry for estimating the Young's modulus of wood specimens. Cerne, 25, 240-245(2019).

    [135] O MELANDER, A RASMUSON. PIV measurements of velocities and concentrations of wood fibres in pneumatic transport. Experiments in Fluids, 37, 293-300(2004).

    [136] R A PEREIRA, F C GOMES, R A BRAGA JUNIOR et al. Analysis of elasticity in woods submitted to the static bending test using the particle image velocimetry (PIV) technique. Engenharia Agricola, 38, 159-165(2018).

    [137] R A PEREIRA, F C GOMES, R A BRAGA JÚNIOR et al. Displacement measurement in sawn wood and wood panel beams using particle image velocimetry. Cerne, 25, 110-118(2019).

    [138] T M SOUZA, EWNF CONTADO, R A BRAGA et al. Non-destructive technology associating PIV and Sunset laser to create wood deformation maps and predict failure. Biosystems Engineering, 126, 109-116(2014).

    [139] M BAQUI, R LOHNER. PedPIV: Pedestrian velocity extraction from particle image velocimetry. IEEE Transactions on Intelligent Transportation Systems, 21, 580-589(2020).

    [140] M BAQUI, M D SAMAD, R LÖHNER. A novel framework for automated monitoring and analysis of high density pedestrian flow. Journal of Intelligent Transportation Systems, 1-13(2019).

    [141] X H GUO, T A ZHANG, Q Y ZHAO et al. CFD-PBM simulation and piv measurement of liquid-liquid flow in a continuous stirring settler. Jom, 71, 4500-4508(2019).

    [142] S SHI, M ZHANG, X FAN et al. Experimental and computational analysis of the impeller angle in a flotation cell by PIV and CFD. International Journal of Mineral Processing, 142, 2-9(2015).

    [143] L FAN, D MCGRATH, CT CHONG et al. Laser-induced incandescence particle image velocimetry (LII-PIV) for two-phase flow velocity measurement. Experiments in Fluids, 59, 1-14(2018).

    [144] K KOKMANIAN, S SCHARNOWSKI, C SCHÄFER et al. Investigating the flow field dynamics of transonic shock buffet using particle image velocimetry. Experiments in Fluids, 63, 1-14(2022).

    [145] H SEO, K C KIM. Experimental study on flow and turbulence characteristics of bubbly jet with low void fraction. International Journal of Multiphase Flow, 142(2021).

    [146] KWAK , PARK , KIM et al. Shear band characterization of clayey soils with particle image velocimetry. Applied Sciences, 10, 1139-1155(2020).

    [147] K SATO, H AKAGI, T KIRIYAMA et al. Large deformation analysis of ground with wall movement or shallow foundation under extremely low confining pressure using PIV, 283-293(2019).

    [148] K BLANCKAERT, W H GRAF. Momentum transport in sharp open-channel bends. Journal of Hydraulic Engineering, 130, 186-198(2004).

    [149] B F EDWARDS, D H SMITH. Critical wavelength for river meandering. Physical Review E, 63, 045304(2001).

    [150] S T LANCASTER, R L BRAS. A simple model of river meandering and its comparison to natural channels. Hydrological Processes, 16, 1-26(2002).

    [151] F TAURO, R PISCOPIA, S GRIMALDI. Streamflow observations from cameras: large-scale particle image velocimetry or particle tracking velocimetry?. Water Resources Research, 53, 10374-10394(2017).

    [152] G CORTELLESSA, L STABILE, F ARPINO et al. Close proximity risk assessment for SARS-CoV-2 infection. Science of the Total Environment, 794, 148749(2021).

    [153] W THIELICKE, E STAMHUIS. PIVlab-towards user-friendly, affordable and accurate digital particle image velocimetry in MATLAB. Journal of Open Research Software, 2, e30(2014).

    [154] P BOUILLOT, O BRINA, R OUARED et al. Multi-time-lag PIV analysis of steady and pulsatile flows in a sidewall aneurysm. Experiments in Fluids, 55, 1-11(2014).

    [155] M D FORD, H N NIKOLOV, J S MILNER et al. PIV-measured versus CFD-predicted flow dynamics in anatomically realistic cerebral aneurysm models. Journal of Biomechanical Engineering-Transactions of the Asme, 130, 021015(2008).

    [156] S IM, GEHEO , Y J JEON et al. Tomographic PIV measurements of flow patterns in a nasal cavity with geometry acquisition. Experiments in Fluids, 55, 1-18(2014).

    [157] M RASCHI, F MUT, G BYRNE et al. CFD and PIV analysis of hemodynamics in a growing intracranial aneurysm. International Journal for Numerical Methods in Biomedical Engineering, 28, 214-228(2012).

    [158] P VAN OOIJ, J J SCHNEIDERS, H A MARQUERING et al. 3D cine phase-contrast MRI at 3T in intracranial aneurysms compared with patient-specific computational fluid dynamics. American Journal of Neuroradiology, 34, 1785-1791(2013).

    [159] T YAGI, A SATO, M SHINKE et al. Experimental insights into flow impingement in cerebral aneurysm by stereoscopic particle image velocimetry: transition from a laminar regime. Journal of the Royal Society Interface, 10, 20121031(2013).

    [160] J S GOERSS. Impact of satellite observations on the tropical cyclone track forecasts of the navy operational global atmospheric prediction system. Monthly Weather Review, 137, 41-50(2009).

    [161] R H LANGLAND, C VELDEN, P M PAULEY et al. Impact of satellite-derived rapid-scan wind observations on numerical model forecasts of hurricane katrina. Monthly Weather Review, 137, 1615-1622(2009).

    [162] C VELDEN, W E LEWIS, W BRESKY et al. Assimilation of high-resolution satellite-derived atmospheric motion vectors: impact on HWRF forecasts of tropical cyclone track and intensity. Monthly Weather Review, 145, 1107-1125(2017).

    [163] Q WU, H Q WANG, Y J LIN et al. Deriving AMVs from geostationary satellite images using optical flow algorithm based on polynomial expansion. Journal of Atmospheric and Oceanic Technology, 33, 1727-1747(2016).

    [164] T C WU, C S VELDEN, S J MAJUMDAR et al. Understanding the influence of assimilating subsets of enhanced atmospheric motion vectors on numerical analyses and forecasts of tropical cyclone track and intensity with an ensemble kalman filter. Monthly Weather Review, 143, 2506-2531(2015).

    [165] W C LIU, W C HUANG. Development of a three-axis accelerometer and large-scale particle image velocimetry (LSPIV) to enhance surface velocity measurements in rivers. Computers & Geosciences, 155, 104866(2021).

    [166] Z J TAYLOR, R GURKA, G A KOPP et al. Long-duration time-resolved PIV to study unsteady aerodynamics. IEEE Transactions on Instrumentation and Measurement, 59, 3262-3269(2010).

    [167] W THIELICKE, E J STAMHUIS. PIVlab-time-resolved digital particle image velocimetry tool for MATLAB. Published under the BSD License, Programmed with MATLAB, 7, R14(2014).

    [168] J SVEEN. MatPIV—the PIV toolbox for MATLAB(2006).

    Muhammad Bilal, Zhenyu TIAN. Recent Development and Applications of Particle Image Velocimetry from Laboratory to Industry(Invited)[J]. Acta Photonica Sinica, 2023, 52(3): 0352103
    Download Citation