KKT Services · Engineering Toolkit
Machine-learning prediction of monopile mass, outer diameter and length for concept-stage sizing — single location through the form below, or batch via CSV upload (see disclaimer for required columns).
Have a project in mind or need expert advice on offshore structures, FEA, or AI-driven solutions?
Model trained on monopile foundations in North Sea environmental conditions, using publicly available MP data and synthetic data generated from simple analytical calculations.
Range — water depth: 4.25–70 m; OD: 2.1–13 m.
CSV batch input — column names expected: Project, Water depth, Hub height, Rotor_dia, soil.
For park layout plot add columns utm-x, utm-y (Easting, Northing).
Any additional columns in the CSV are forwarded to the output file.
