SBIR/STTR Research Award

Real-time Airwake Prediction for Improved Deck-landings (RAPID)

Award identifier 599167803e7d8030540d4719d3bc24ecdeec2c63a2e423c587aa2fa4330ed96eAwarding agency Department of Defense · Navy

Award amount

$139,934

Program and phase

STTR · Phase I

Award year

2025

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
SYSTEMS TECHNOLOGY, INC
Proposal award date
2025-07-30
Contract end date
2026-01-26
UEI
R3DPJ1ZZJAK8
Solicitation number
25.A
Topic code
N25A-T002

Research abstract

As the cost of flight time has increased over the years and the scope of flight test expanded, the aviation community has long sought the ability to earn “credit” for simulation-based evaluations. Recent advances in computational power and new methods in representing complex dynamic systems has moved the conversation from the theoretical into a question of regulation and implementation. How good is good enough? What must be demonstrated to show sufficient equivalency between the live environment and its simulated representation? An additional challenge is to capture those dynamics properly and in such a way that they are suitable for real-time evaluations as part of a piloted simulation. One area of modeling that has proved elusive has been accurate modeling of the airwake behind a ship when performing rotary-winged shipboard landings. Here, airwake refers to the flow of the air around the ship and to the landing pad and adjacent areas resulting from disturbances caused by the environment and the ship superstructure. As the ship moves though the environment for a given wind condition, flow interactions may cause unsteady airflow. Attempts have been made to perform these kinds of evaluations in simulation but have been limited in fidelity. High-fidelity Computational Fluid Dynamics (CFD) simulations require hours or days to obtain a singular solution and are not at all feasible for real-time piloted simulation. Static windfields are often used in simulation to provide cueing representative of dynamic airwakes in simulation. Adding complexity by making these wakes time-dependent has been shown to create a realistic environment for real-time piloted simulation. However, important aerodynamic effects are not present in one-way coupled simulation such as these. Complex phenomena including recirculation and dynamic ground effect will not be present in the real-time simulation without two-way coupled dynamic air wakes.To address the challenge of implementing a real-time, two-way coupled airwake suitable for piloted simulation, a team led by Systems Technology, Inc. (STI), in collaboration with Georgia Institute of Technology (GT), proposes the Real-time Airwake Prediction for Improved Deck-landings (RAPID) project, wherein the Lattice-Boltzmann Method (LBM) will be coupled with a novel hardware/software framework to enable two-way coupled airwake simulations to be performed in real-time and be suitable for piloted simulation evaluations. This effort will further develop, validate, implement, and test the LBM with the aim to enhance simulation fidelity to support virtual sea trials via its new approach to two-way coupled air wakes. Compared to traditional CFD approaches, the LBM is extremely performant, provides a quick turn-around on full scale flow-field calculations (hours not days), and makes real-time simulation feasible. GT has already demonstrated the approach using a representative scenario with a single main rotor helicopter landing on a ship.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

187 SBIR/STTR records share this UEI (1983–2026). Reported award amounts total $58,450,871. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Health and Human Services, Department of Transportation, Department of Agriculture

Agency intelligence

Department of Defense

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