This paper sets out capabilities of a new cloud-based platform of freeware webapps supporting a range of digital tools for offshore foundation and anchor system design. The platform architecture enables a range of tools to be hosted including data-rich and machine learning tools, and import and export of large data sets permitting parametric analyses. The platform enables live, interactive visualization of design outcomes with data export functionality for retention and further analysis. The calculation tools are based on published research outcomes and include (i) characterization tools for predicting derived soil properties for design input; (ii) bearing capacity formulations for a range of foundation geometry, soil types and loading conditions; (iii) multidirectional failure envelopes that feature single-objective optimization, with and without consideration of consolidation strength gains; (iv) whole-life response at element level and for boundary value problems; (v) prediction of anchor loads from a variety of mooring systems; and (v) a GIS-based marine spatial planning tool. All the tools are intended for use at concept design stage to inform on architecture or configuration selection and initial sizing of components. An underpinning philosophy of the tools is to provide quick outputs for idealized conditions to support initial design decisions. The new platform has overarching value in streamlining research outputs into design practice, to promote the uptake of new design methods and increase the accessibility of frontier techniques of offshore geotechnical design.
5th International Symposium on Frontiers in Offshore Geotechnics (ISFOG2025)
5 - Data Analytics and Machine Learning