SBIR/STTR Research Award

Weapons Effects FRMs for Contact or Embedded Detonations in Fixed Targets

Award identifier ca3642016e7becd6f314bc4ee7112f7d816e515b1e763fefc9bf446cd34c8dbcAwarding agency Department of Defense · Air Force

Award amount

$149,917

Program and phase

SBIR · Phase I

Award year

2014

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
Air Force
Recipient company
ACTA, LLC
Proposal award date
2014-06-30
Contract end date
2015-03-26
UEI
DFJ9T2AMP233
Solicitation number
2014.1
Topic code
AF141-141

Research abstract

ABSTRACT: This is a nine-month SBIR Phase I project titled"Weapons Effects FRMs for Contact or Embedded detonations in Fixed Targets."The stated objective of this solicitation topic is to develop innovative High-Fidelity Physics-Based (HFPB) Fast-Running Models (FRMs) for simulating the effects of weapons detonated on contact or embedded in fixed target structural materials. We propose to demonstrate the feasibility of simulating small munitions impact penetrating and exploding inside several urban wall types using high fidelity physics based tools. We also propose to demonstrate prototype FRMs for stochastic debris cloud models resulting from these events for a limited parameter space. BENEFIT: In recent years, the US military finds itself more involved in urban warfare. In urban warfare or MOUT (Military Operations in Urban Terrain), armed forces have to exhibit caution so that their actions will not harm civilians and friendly forces in the area. These precautions exclude the use of large weapons and therefore the military is extremely interested in the use of more precise small weapons. These small weapons are often used to breach urban walls and can be inert projectiles or explosive projectiles (cased weapons) that a) detonate upon impact or b) set for a delayed detonation during partial penetration in order to maximize damage. The physics of the inert or explosive impacts and the resulting breakup and debris generation of these munitions are very complex. Therefore, there is a need to develop validated small munitions models capable of determining the consequences of their use in order to assist military planners and soldiers in the field. This Phase I project will result in (a) improved HFPB (High Fidelity Physics Based) tools for simulating these applications, (b) prototype global FRMs for stochastic debris source models for RC and brick walls, (c) prototype FRM for blast energy behind the target wall, and (d) Phase II plan to develop FRMs that can predict hole size, shape, and stochastic debris cloud due to small munitions impact penetrating and exploding in urban walls.

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

47 SBIR/STTR records share this UEI (1987–2017). Reported award amounts total $14,477,317. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation

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.