Practical aspects of image recording in particle image velocimetry

Stanislas, Michel; Monnier, Jean-Claude

doi:10.1088/0957-0233/8/12/006

Cited by 22 publications

(16 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This drawback of the camera could be circumvented by using a (high frame rate) video camera instead of a photo camera (Bradley et al 2002;Meselhe et al 2004;Muste et al 2008). During the image recording, the parameters controlling the visualization and illumination of the seeding particles are critical (Stanislas & Monnier 1997). To be captured by the camera, the size of the seeding particle should be large enough to be represented by at least one pixel.…”

Section: Image Recordingmentioning

confidence: 99%

Validation of large-scale particle image velocimetry to acquire free-surface flow fields in vegetated rivers

Creëlle

Roldan

Herremans

et al. 2016

Journal of Applied Water Engineering and Research

View full text Add to dashboard Cite

The reliability of large-scale particle image velocimetry (LSPIV) methodology to measure a 2D surface velocity field in a vegetated lowland stream is evaluated. To this end, measurements of the free-surface flow field obtained with LSPIV are compared with measurements with an electromagnetic current meter (ECM) close to the surface at four different locations. The measurements were performed monthly, allowing the evaluation of the LSPIV measurements in relation to different vegetated conditions. The difference observed between the mean velocities measured with ECM and LSPIV remains low in winter, whereas an increase is observed in summer. Inappropriate particle seeding density and unsteadiness of the flow are the main sources of LSPIV reliability reduction. Nonetheless, the seasonal average frequency of reliable LSPIV measurements is 97%, 95% and 78% in winter, spring and summer, respectively. The results illustrate that LSPIV is an inexpensive methodology, which provides high-resolution and reliable data to study the flow-field distribution in vegetated rivers, provided some considerations are taken into account to deal with the added complexity of the vegetation presence and the field conditions.

show abstract

Section: Image Recordingmentioning

confidence: 99%

Validation of large-scale particle image velocimetry to acquire free-surface flow fields in vegetated rivers

Creëlle

Roldan

Herremans

et al. 2016

Journal of Applied Water Engineering and Research

View full text Add to dashboard Cite

show abstract

“…The two images are obtained when the particles are illuminated, then the local velocity vectors reconstruction is obtained over different interrogation areas via cross-correlation method. As the time interval is short compared to the flow time scales, the PIV method delivers instantaneous velocity maps in a two-dimensional plane [62]. Details about such non intrusive measurement technique are available in the scientific literature [63] and are not reported here for brevity.…”

Section: Experimental Apparatusmentioning

confidence: 99%

A simplified benchmark of ultrafine particle dispersion in idealized urban street canyons: A wind tunnel study

Stabile

Arpino

Buonanno

et al. 2015

Building and Environment

View full text Add to dashboard Cite

“…Dividing d by the time interval between the two consecutive images under analysis, t, results the velocity vector for the point associated with the central point of every interrogation window, until covering the complete image recorded. More details can be found in Raffel [20], Adrian [21][22][23], Prasad [24] and the Measurement Science and Technology series of articles devoted to this technique [25][26][27][28][29][30].…”

Section: The Piv Techniquementioning

confidence: 99%

Double-average mean flow and local turbulence intensity profiles from PIV measurements for an open channel flow with rigid vegetation

2011

View full text Add to dashboard Cite

This contribution presents particle image velocimetry measurements for an open channel stationary uniform and fully developed flow of water over a horizontal flat bed of uniform glass beads in presence of a staggered array of vertical cylindrical stems. The main objective was to explore and quantify the influence of the stems-to-flow relative submergence, h v / h, over the mean flow and local turbulence intensities. A comparison with measurements for the non-vegetated flow over the same granular bed is presented. Results indicate a remarkable influence of h v / h over the whole flow field. The time-average mean flow presents a strong spatial variation in the layer of the flow occupied by the stems. The local velocity fluctuations are strongly affected by the presence of the stems, with regions in between the stems where they reach peaks that are several times larger than those encountered in the flow in absence of vegetation. The turbulence intensity profiles are noticeably different when compared to those measured in the non-vegetated flow conditions. From previous works it was possible to derive an equation for the mean velocity, U v , of the flow through the vegetated layer of height h v . The prediction of this equation is in good agreement with the uniform value for the double-average longitudinal velocity profile in this layer. A final brief discussion about the possible impact of these vegetated-flow features on the sediment transport is presented.

show abstract

Practical aspects of image recording in particle image velocimetry

Cited by 22 publications

References 19 publications

Validation of large-scale particle image velocimetry to acquire free-surface flow fields in vegetated rivers

Validation of large-scale particle image velocimetry to acquire free-surface flow fields in vegetated rivers

A simplified benchmark of ultrafine particle dispersion in idealized urban street canyons: A wind tunnel study

Double-average mean flow and local turbulence intensity profiles from PIV measurements for an open channel flow with rigid vegetation

Contact Info

Product

Resources

About