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Activity title

Assessment of numerical methods for complex flow over marine control surfaces

Activity Reference

AVT-392

Panel

AVT

Security Classification

NATO UNCLASSIFIED

Status

Active

Activity type

RTG

Start date

2024-01-01T00:00:00Z

End date

2026-12-31T00:00:00Z

Keywords

computational fluid dynamics, Control surface, flow separation, manoeuvering, rudder, submarine, underwater vehicle

Background

The NATO AVT-301 RTG evaluated the state-of-the-art in computational fluid dynamics (CFD) predictions of underwater vehicle hydrodynamics. The use of a single common geometry (the BB2 generic submarine model) and data formats allowed for the direct comparison of CFD predictions of both the flow fields and hydrodynamic loads for steady maneuvering conditions. Relatively good agreement was achieved between individual CFD submissions, and between CFD and wind tunnel experiments, for translation at a moderate drift angle. However, large discrepancies were observed for steady turning manoeuvres. None of the CFD submissions consistently matched all hydrodynamic forces and moments measured in a rotating arm experiment and there was a large scatter between individual CFD submissions. It was determined that the differences in predictions were caused by a wide variation in predicted flow separation from the aft control surfaces, which are exposed to large flow incidence angles during turning manoeuvres. Only the total vehicle forces and moments were measured in the rotating arm experiments so it was difficult to assess local differences between CFD and experiment. The proposed RTG will extend the work of AVT-301 by analyzing the complex flow around marine control surfaces at high angles of attack in more detail. A focus will be on the prediction of flow separation and detached flow but there is also interest in horseshoe vortices generated at hull-rudder junctions. New experiments with an isolated control surface that include flow field measurements will be conducted to better evaluate CFD prediction methods with varying degrees of fidelity. While Reynolds-Averaged Navier-Stokes (RANS) and unsteady RANS methods were primarily used for AVT-301, the use of more focused geometry and the advancement in computing power are expected to allow more participants to evaluate higher-fidelity methods such as hybrid RANS-LES (large eddy simulation) and wall-modeled LES in this follow-on study.

Objectives

The objective is to evaluate state-of-the-art CFD methods for predicting the submarine control surface forces and flow fields at high incidence with significant flow separation. New experiments of flow around a generic submarine rudder will be conducted to enable validation of numerical methods and provide insight on the flow physics. To focus on the understanding of the flow physics, it is planned to study only a limited number of configurations (rudder mounted on a flat plate and rudder mounted on a curved body). These experiments will include measurements of forces and moments, surface pressure, surface flow topology, flow velocities, and turbulence quantities. Solutions produced by the various participants will be compared and grids will be exchanged to better understand any numerical uncertainties in the results and/or limitations of methods and approaches used. Recommendations will be given for the selection of grid densities, turbulence models and other numerical settings for predictions of submarine control surfaces hydrodynamic loads and flow fields when exposed to large angles of attack.

Topics

1. Generation of dedicated experimental datasets for the validation of numerical methodologies for submarine control surfaces at large angles of attack 2. CFD simulations of flow over control surfaces in different operating conditions, realistic of real ship manoeuvers at sea including detached flow condition 3. CFD simulations of junction flow to assess the validity of numerical procedures to model horseshoe vortices 4. Benchmarking of CFD simulation approaches, including RANS and scale-resolved simulations (such as hybrid RANS/LES and wall modeled LES), versus each other and experimental data

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