Drag embedment anchors (DEAs) are anchors that generate holding capacity by embedding into the seabed under tension. DEAs are widely used in offshore mooring. This study presents a data-driven framework using decision tree regression (DTR) and random forest regression (RFR) to predict DEA holding capacity and anchoring efficiency in clay seabed. The DTR and RFR models were validated using experimental measurements. By leveragi...

Drag embedment anchors (DEAs) provide reliable and cost-effective mooring solutions for floating structures, e.g., platforms, ships, offshore wind turbines, etc., in offshore engineering. Structural stability and operational safety require accurate predictions of their penetration depths and holding capacities across various seabed conditions. In this study, explicit linear regression (LR) models were developed for the first t...

Side weirs in trapezoidal canals are used to regulate and measure flow in drainage networks and irrigation systems. In this study, the discharge coefficient of a side weir in a trapezoidal canal is predicted using gene expression programming (GEP). The effects of Froude number ( Fr ), ratio of side weir length to trapezoidal canal bottom width ( L/b ), ratio of side weir length to flow depth upstream of the side weir ( L/y 1 )...