Estimation of aerator air demand by an embedded multi-gene genetic programming

A spillway discharging a high-speed flow is susceptible to cavitation damages. As a countermeasure, an aerator is often used to artificially entrain air into the flow. Its air demand is of relevance to cavitation reduction and requires accurate estimations. The main contribution of this study is to...

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Bibliographic Details
Published in:	Journal of hydroinformatics Vol. 23; no. 5; pp. 1000 - 1013
Main Authors:	Li, Shicheng, Yang, James, Liu, Wei
Format:	Journal Article
Language:	English
Published:	London IWA Publishing 01.09.2021
Subjects:	Aeration Aerators Air air demand Air entrainment Cavitation Demand empirical correlation Evolution Flow velocity Fluid flow Gene expression Genetic algorithms Hydraulic and Hydrologic Engineering Hydraulik och teknisk hydrologi Machine learning multi-gene genetic programming Mutation Optimization Post-production processing Predictions Programming Root-mean-square errors solution optimization spillway aerator Spillways Statistical analysis
ISSN:	1464-7141, 1465-1734, 1465-1734
Online Access:	Get full text
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