SBIR/STTR Research Award

High Cycle Fatigue Analysis of Integrally Rotors

Award identifier 8319bf01a3ecc09c10a4c39604d9c6c3088f7506c9f9c7b97b072247227bc537Awarding agency Department of Defense · Navy

Award amount

$69,958

Program and phase

STTR · Phase I

Award year

2006

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
ROTORDYNAMICS-SEAL RESEARCH
Proposal award date
2006-08-01
Contract end date
2007-05-31
UEI
Not reported
Solicitation number
Not reported
Topic code
N06-T015

Research abstract

A new approach is proposed for high fidelity analysis of aeroelastic characteristics of integrally bladed rotors. This new multiscale approach for nonequilibrium flow path analysis will yield high fidelity solutions including all turbulence scales at a fraction of the computational cost of RANS. Integration of this advanced capability within an existing multidisciplinary, multifidelity, transient modeling and simulation environment will provide the most accurate solution for critical inputs for fatigue life calculations. The proposed effort also includes substantial experimental validation of the analysis results using an existing high speed, high frequency dynamic test facility.BENEFITS: Faster and more accurate solution of fluid structure interaction problems.

Technology keywords

Not reported

Awards with the same topic code

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

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.