The modeling of oxygen transfer efficiency in gated conduits by using genetic expression programming

Abstract

Oxygen transfer is the process by which oxygen is transferred from the gaseous to the liquid phase. The oxygen transfer efficiency depends almost entirely on the amount of surface contact between the air and water. This surface contact can be increased by gated conduits that involve air-water mixture flow. In reality, the physical structure of the air-water interface is complex and still awaits clarification. In recent years, different soft computing systems have been successfully employed for the solution of complex problems. Genetic expression programming (GEP) is an example of soft computing systems. This study presents the use of GEP based on a genetic algorithm to predict oxygen transfer efficiency in high−head and free−surface gated conduits. The comparison of experimental results with the results of GEP models revealed that correlation coefficients (R2) are very high and mean square errors (MSE) are very small. Therefore, GEP models are a fairly promising approach for the prediction of oxygen transfer efficiency in gated conduits.

Role of Gate Type in the Air-Demand Ratio in Closed Conduits

“…Previous studies have shown that injecting air into the flow downstream of the gate can significantly reduce the risk of cavitation damage. The air-demand ratio and the aeration efficiency in gated closed conduits have been investigated by Aydin et al (2021Aydin et al ( , 2022Aydin et al ( , 2023, Baylar and Batan (2010), Baylar et al ( , 2021Baylar et al ( , 2022, Campbell and Guyton (1953), Haindl and Sotornik (1957), Hohermuth (2017Hohermuth ( , 2019, Hohermuth et al (2020), Kalinske and Robertson (1943), Mortensen (2009), Mortensen et al (2011Mortensen et al ( , 2012, Mortensen and Kubitschek (2016), Oveson (2008), Ozkan et al (2006aOzkan et al ( , 2006bOzkan et al ( , 2010Ozkan et al ( , 2014Ozkan et al ( , 2015, Rajaratnam (1962), Safavi et al (2008), Sharma (1976), Speerli (1999), Speerli and Hager (2000), Tuna et al (2014), Unsal et al (2008Unsal et al ( , 2009Unsal et al ( , 2014, USACE (1964), Wisner (1965).…”