Stereoscopic particle image velocimetry measurements of the flow around a surface-mounted block

Calluaud, Damien; Lee, David

doi:10.1007/s00348-003-0628-7

Cited by 44 publications

(14 citation statements)

References 15 publications

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“…To obtain it, we use a pinhole camera model (e.g. Calluaud & David 2004) combined with a two-media refraction model (neglecting the contribution of the glass elements of the water prism) based on Maas (1996) and a misalignment correction based on Wieneke (2005). In total, 13 model parameters need to be estimated for each camera using a calibration procedure, including four intrinsic camera parameters (f x , f y , i 0 , j 0 ), six extrinsic camera parameters (α, β, γ , t x , t y , t z ), and three parameters for the refraction model (α g , β g , t zg ).…”

Section: Stereoscopic Piv Calibrationmentioning

confidence: 99%

Interactions between aquatic plants and turbulent flow: a field study using stereoscopic PIV

et al. 2013

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A stereoscopic particle image velocimetry (PIV) system for use in shallow (∼0.5 m deep) rivers was developed and deployed in the Urie River, Scotland, to study the interactions between turbulent flow and a Ranunculus penicillatus plant patch in its native environment. Statistical moments of the velocity field were calculated utilizing a new method of reducing the contribution of measurement noise, based on the measurement redundancy inherent in the stereoscopic PIV method. Reynolds normal and shear stresses, their budget terms, and higher-order moments of the velocity probability distribution in the wake of the plant patch were found to be dominated by the presence of a free shear layer induced by the plant drag. Plant motion, estimated from the PIV images, was characterized by travelling waves that propagate along the plant with a velocity similar to the eddy convection velocity, suggesting a direct coupling between turbulence and the plant motion. The characteristic frequency of the plant velocity fluctuations (∼1 Hz) may suggest that the plant motion is dominated by large eddies with scale similar to the flow depth or plant length. Plant and fluid velocity fluctuations were, in contrast, found to be strongly correlated only over a narrow (∼30 mm) elevation range above the top of the plant, supporting a contribution of the shear layer turbulence to the plant motion. Many aspects of flow-aquatic plant interactions remain to be clarified, and the newly developed stereoscopic field PIV system should prove valuable in future studies.

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Section: Stereoscopic Piv Calibrationmentioning

confidence: 99%

Interactions between aquatic plants and turbulent flow: a field study using stereoscopic PIV

et al. 2013

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“…Therefore, the calibration of the stereoscopic system is crucial to estimate accurately the three-dimensional shape of the free surface. For 3D measurement, in most applications, the calibration is performed by translating a calibration target at known positions to create a large set of three-dimensionally distributed markers (Tsai 1987;Calluaud and David 2004). From this set of three-dimensional points and given their projections on the images, the camera model can be determined.…”

Section: Calibration Of the Cameras For A Large Field Of View Applicamentioning

confidence: 99%

Large-scale free surface measurement for the analysis of ship waves in a towing tank

et al. 2015

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“…In this work, an alternative approach of the Scheimpflug camera-based stereo-DIC method is provided. The Scheimpflug camera, adopting the Scheimpflug condition by tilting the lens with respect to the image plane, enables extending the measurement range of the stereo-DIC system without zooming the aperture, which has been widely employed in the field of particle image velocimetry (PIV) [15], line structured light [16], and portable 3D laser scanner [17].…”

Section: Introductionmentioning

confidence: 99%

Scheimpflug Camera-Based Stereo-Digital Image Correlation for Full-Field 3D Deformation Measurement

et al. 2019

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To further extend the scope of stereo-digital image correlation (stereo-DIC) to more challenging environments, a novel Scheimpflug camera-based stereo-DIC is developed for full-field 3D deformation measurement, wherein the Scheimpflug condition, consisting of tilting the sensor plane with respect to the lens plane for the sake of larger depth of field (DOF) of the camera, is employed. The geometric imaging model of the Scheimpflug camera is described, on the basis of which a robust and effective stepwise calibration strategy is performed to calculate the intrinsic and extrinsic parameters of the stereo Scheimpflug rig. With the aid of a specially tailored stereo triangulation method and well-developed subset-based DIC algorithms, the three-dimensional shape and displacement of the specimen can be retrieved. Finally, practical experiments, including rigid motion tests and three-point bending tests, demonstrate the effectiveness and accuracy of the proposed approach.

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Stereoscopic particle image velocimetry measurements of the flow around a surface-mounted block

Cited by 44 publications

References 15 publications

Interactions between aquatic plants and turbulent flow: a field study using stereoscopic PIV

Interactions between aquatic plants and turbulent flow: a field study using stereoscopic PIV

Large-scale free surface measurement for the analysis of ship waves in a towing tank

Scheimpflug Camera-Based Stereo-Digital Image Correlation for Full-Field 3D Deformation Measurement

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