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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Vydané v:	Journal of hydroinformatics Ročník 23; číslo 5; s. 1000 - 1013
Hlavní autori:	Li, Shicheng, Yang, James, Liu, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London IWA Publishing 01.09.2021
Predmet:	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
On-line prístup:	Získať plný text
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