Evaluation of conjugate depths of hydraulic jump in circular pipes using evolutionary computing

摘要: Hydraulic jump phenomenon occurring in the circular pipes is a complex issue which has been paid studious attentions by hydraulic engineers. Several experimental and numerical studies were performed so as to characterize pipes. There are few comprehensive equations predict conjugate depth In this investigation, three models on basis of evolutionary computing gene-expression programming (GEP), model tree (MT), polynomial regression (EPR) have utilized evaluate depths Two non-dimensional parameters yielded from conceptions specific force determine functional relationship between input output variables. The performances proposed approaches compared with those obtained using conventional methods. performance MT indicated an accurate prediction (R = 0.995 RMSE = 0.023) comparison other artificial intelligence (AI) empirical equations. uncertainties improved quantified existing models. results demonstrated that linear provided had more convenient application than extracted investigations.