Researchcfdturbulenceranssurrogate modeling
WAKESET Introduces Large-Scale High-Reynolds Turbulent CFD Dataset
8.1
In February 2026, researchers introduced WAKESET, a large-scale CFD dataset of highly turbulent flows capturing hydrodynamics during underwater recovery of an autonomous underwater vehicle by a larger uncrewed vehicle. It contains 1,091 high-fidelity RANS simulations (augmented to 4,364 instances), spans speeds up to Reynolds numbers of 1.09×10^8 and varied turning angles, and aims to support ML for flow prediction and surrogate modeling.
Key Points
- 1Provides 1,091 high-fidelity RANS simulations (4,364 augmented instances) of high-Re turbulent wake flows
- 2Targets realistic engineering envelope up to Re 1.09×10^8, addressing dataset scarcity for turbulence ML
- 3Enables development and benchmarking of ML surrogate models, flow prediction, and autonomous navigation systems
Scoring Rationale
High novelty and direct usability for turbulence ML, limited by preprint status and domain-specific scope.
Sources
Public references used for this report.
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