Abstract
An optic-based method that utilizes the particle-laden images captured during high-speed particle image velocimetry (HSPIV) measurements is presented, aiming to explore the probabilistic mean characteristics of the free surface profiles and velocity fields of a free jet with high-frequency random fluctuations over a chute. The technique based on the gray-level gradients in the smoothed gray level distribution of the contrast-enhanced images is used to determine the probabilistic mean features of the free jet, right beneath and above which the water-air interfaces have I%/(100 I)% intermittent appearance of air/water phase and (100 I)%/I% fitful show-up of water/air phase. Further, the cross-correlation calculation for HSPIV measurements is employed to obtain the instantaneous and probabilistic mean velocity fields of the free jet. A target experiment of the free jet having a mean water-depth of 2.76 cm and a Froude number of 3.92 over a 17 chute model is performed in a re-circulating water channel to demonstrate the application of this method.
Recommended Citation
Lin, Chang; Kao, Ming-Jer; Yang, James; Teng, Peng-Hua; and Raikar, Rajkumar Venkatesh
(2018)
"STUDY ON PROBABILISTIC MEAN FEATURES OF LOWER AND UPPER FREE-SURFACE PROFILES AND VELOCITY FIELDS OF A HIGHLY FLUCTUATING FREE JET OVER A CHUTE,"
Journal of Marine Science and Technology: Vol. 26:
Iss.
3, Article 3.
DOI: DOI: 10.6119/JMST.201806_26(3).0003
Available at:
https://jmstt.ntou.edu.tw/journal/vol26/iss3/3