Estimation of Scour Propagation Rates around Pipelines While Considering Simultaneous Effects of Waves and Currents Conditions

Seabed offshore pipelines are widely applied to carry fluid over long distances of the seafloor. The design is conducted bear quite a few environmental loading circumstances in order provide well-guarded and reliable transition. Fluid leakage pipeline vibration due failure prime causes accidental catastrophes. Scour phenomena occur around currents and/or wave conditions, consequently causing susceptibility failure. Then, scouring propagation rates require be studied three dimensions, namely beneath normal longitudinal direction itself. In this research, Artificial Intelligent (AI) models used derive new regression equations based on laboratory data for estimation 3D scour patterns while seafloor exposed simultaneous impacts waves. way, chiefly experimental investigations by Cheng colleagues, seven sets dimensional parameters were given terms Shields’ parameter waves, Keulegan–Carpenter number, ratio embedment depth diameter, orbital velocity current velocity, wave/current angle attack. Dimensionless regression-based evaluate dimensions. performance AI was evaluated various statistical measures. model our proposed performed better than reported literature. Even more importantly, we indicated that inherently has physical consistency variations dimensionless against patterns.