Technical Papers
Feb 26, 2024

A Predictive Model for the Initial Droplet Size and Velocity Distribution of Flood Discharge Atomization

Publication: Journal of Hydraulic Engineering
Volume 150, Issue 3

Abstract

During the discharge of floodwater from a hydropower station, a significant number of water droplets in motion are created in the downstream space. These droplets vary in size and velocity, causing challenges in determining the particle size and velocity distribution of the flood discharge atomized droplets. Currently, the particle-size distribution and velocity distribution of atomized droplets are considered to be independent, and the gamma function is used to describe the particle-size distribution and velocity distribution of droplets separately. However, a joint distribution of atomized droplet size and velocity is lacking. This paper uses the basic theory of maximum entropy to study the combined distribution of droplet size and velocity in the atomized flow caused by jet overflow. The present model was in a good agreement with experimental data, providing a method for the theoretical study of droplet size and velocity distribution in flood discharge atomization.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published paper.

Acknowledgments

The authors express their sincere gratitude to all those who offered selfness help during the course of this research. This research was supported by the National Natural Science Foundation of China (Grant No. 52279065).

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Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 150Issue 3May 2024

History

Received: Mar 13, 2023
Accepted: Dec 11, 2023
Published online: Feb 26, 2024
Published in print: May 1, 2024
Discussion open until: Jul 26, 2024

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Yanxiang Peng [email protected]
Ph.D. Candidate, School of New Energy, North China Electric Power Univ., Beijing 102206, PR China. Email: [email protected]
Full Professor, School of Water Resources and Hydropower Engineering, North China Electric Power Univ., Beijing 102206, PR China (corresponding author). ORCID: https://orcid.org/0000-0002-0675-9777. Email: [email protected]

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