Research Information System
4th International Civil Engineering & Architecture Conference, Trabzon, Turkey, 17 - 19 May 2025, vol.1, pp.1181-1186, (Full Text)
Brine, the byproduct of the desalination process, is a type of wastewater and must be disposed of safely. Marine outfall systems are used to dispose of brine, which is discharged into the ambient environment through the discharge ports of the diffuser pipes. A proper hydraulic design of the diffuser pipe is crucial since it ensures sufficient dilution of the discharged wastewater. Jet behavior must be thoroughly analyzed for a successful diffuser design. In this context, jet trajectories are vital since they are directly related to the dilution efficiency of the wastewater discharged. In assessing the trajectories of dense jets from single-side diffusers, there are three main geometrical features: maximum rise height, impact distance, and near-field distance. In this study, the maximum rise height is modeled among these three features. Both classical regression analysis and teaching-learning-based algorithm (TLBO) were used in this concept. This study aims to demonstrate the feasibility of using TLBO in modeling the maximum rise height under dynamic ambient conditions with co-flowing ambient currents. For this purpose, current speed, Froude number, and port spacing were independent variables affecting the maximum rise height. In addition, different statistical indices (e.g. absolute mean error, relative error) were used to evaluate the performance of the models. The results of this evaluation revealed the success of TLBO in modeling the maximum rise height.