SBIR/STTR Research Award

Analysis Tools for Composite Laminate Material Properties Prediction

Award identifier 6f1a42a02215cd7a6970f01d13a6ca3fcb618ea696fb0280d07f95b760bdf581Awarding agency Department of Defense · Army

Award amount

$99,953

Program and phase

SBIR · Phase I

Award year

2012

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
Army
Recipient company
ALPHASTAR TECHNOLOGY SOLUTIONS
Proposal award date
2012-10-31
Contract end date
Not reported
UEI
TZD9XM9HKFL5
Solicitation number
2012.2
Topic code
A12-081

Research abstract

A composite software design tool kit is proposed to predict composite properties using micro-mechanics augmented lamination theory. The capability will overcome shortcomings of progressive failure models and will take into account translaminar and interlaminar failure mechanisms. Starting from lamina properties, strength will be predicted for laminates subjected to tension and compression loading. Generation of allowables using scatter in fiber and matrix material properties and fabrication defects will be carried out by use of probabilistic methods to avoid the testing of large amounts of specimens before there is adequate confidence in the material properties. Integration with finite element approach will be accomplished by synthesis of telescoping composite mechanics from fiber and matrix constituents to laminate level. A significant innovation will be the accounting for damage/micro-crack induced anisotropy of the composite matrix properties. Methods to characterize the material properties under strain rate effects will be included. A commercial composite material characterization software MCQ will be enhanced and integrated into commercial (explicit/implicit) FEM codes for structural scale-up. The capability will consider effect of defects (void shape, size, distribution, and fiber waviness) and will rely on a physics-based micro-mechanics approach to reverse-engineer effective fiber/matrix constituent properties using five ASTM ply in-plane tests as input.

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

46 SBIR/STTR records share this UEI (1992–2026). Reported award amounts total $14,646,183. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy

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.