Benchmark Radar
AI BENCHMARK PROFILE

FLOATBench

General AIKnowledge & ReasoningDeCoDELab

FLOATBench is a tabular benchmark for surrogate modeling of tower fatigue in 22 MW floating offshore wind turbines. It provides 582,120 per-section fatigue damage labels from OpenFAST simulations across three tower geometries, with regime-aware splits and three evaluation protocols (random, within-tower regime-aware, cross-tower transfer).

Released
2026-05-25
Readiness
Runnable
Primary field
General AI

Why it matters

Previously, no shared benchmark existed for FOWT fatigue surrogates, hindering comparison. FLOATBench provides a standardized dataset and protocol, enabling fair evaluation and highlighting regime-aware performance differences.

Motivation

Most of the world's offshore wind resource lies in waters too deep for fixed-bottom foundations, making floating offshore wind turbines (FOWTs) essential for deep-water deployment.

Primary resources

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