SBIR/STTR Research Award

Weapons Effects FRMs for Reinforced Concrete Walls & Floor/Ceiling Slabs

Award identifier 2894e5f29a511ca48568512ff9f11926b67b036684a576de1d1f877a86a19e5fAwarding agency Department of Defense · Air Force

Award amount

$740,918

Program and phase

SBIR · Phase II

Award year

2010

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
2010-07-01
Contract end date
2012-07-02
UEI
DFJ9T2AMP233
Solicitation number
2008.3
Topic code
AF083-088

Research abstract

A 24 month SBIR Phase II Project is proposed to develop weapons effects fast-running models (FRMs) for reinforced concrete walls and floor/ceiling slabs in hardened bunker-type structures. The objective is to develop High-Fidelity Physics-Based (HFPB) fast-running models (FRMs) for simulating the effects of air-delivered weapons on heavily reinforced concrete walls and floor/ceiling slabs. The hardened structure FRM will include walls and floor/ceiling slabs for bunkers constructed of normal to ultra high-strength concrete (UHSC), realistic bunker layouts, and current and future weapons ranging from the Small Diameter Bomb (SDB) to the Massive Ordnance Penetrator (MOP). FRMs are also required for predicting breach/spall and secondary debris-projection, i.e. debris throw. The secondary debris models will be used to extend the load parameter spaces for non-charge room wall/slabs. BENEFIT: The ability to model high-strength concrete is important for new hardened structures that will use HSC to combat the effects of new “bunker busting” weapons. The expansion of ARCWall to include weapons ranging up to the MOP, along with the incorporation of HSC in ARCWall will benefit the Air Force by enabling the assessment of damage to new bunker construction subjected to new weapons of the foreseeable future. MOP-type weapons will likely affect more than just the charge room in a typical bunker. The new version of ARCWall will model hallways and outer rooms of a typical bunker. The proposed innovation for modeling concrete damage will enable the direct modeling of holes in breached walls so that the venting of gasses from one room to another can be more accurately modeled. Stochastic debris cloud models will allow the stochastic modeling of individual fragment clouds where the mass, and velocity components of the individual fragments are properly correlated, based on HFPB modeling.

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.