SBIR/STTR Research Award

Mesoscale Model Capability Informed by Cementious Composite Micorostructure

Award identifier 39e901a56ad028b3f2e267c7a56e415b9a46e18603ca5bd23775b3e32c6b785fAwarding agency Department of Defense · Army

Award amount

$111,500

Program and phase

SBIR · Phase I

Award year

2020

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
SYMPLECTIC ENGINEERING CORP
Proposal award date
2020-06-19
Contract end date
2021-08-22
UEI
CZZTPDCJART6
Solicitation number
20.1
Topic code
A20-059

Research abstract

The objective of this project is to develop a multi-scale model for the representation of concrete materials, with emphasis on Ultra High Performance Concrete (UHPC). Symplectic Engineering will use the Phase I period to formulate and implement a prototype version of a hydration model suitable for UHPC representation. This model forms the first, and lengthwise-finest, component of the multi-scale material representation. To demonstrate its performance the model will be applied to simulate the hydration of a conventional cement as well as a UHPC mixture. The composition parameters for these two materials will be selected from the literature. Symplectic Engineering will also use the Phase I period to propose a framework for a full multi-scale model of concrete. In particular, emphasis will be placed on the selection of a mesoscale modeling approach that can be applied to the cement paste, mortar, and concrete scales. The proposed multiscale model framework will also encompass the homogenization strategy, which is required in order to use the results from a finer scale to represent a single material point within its immediately coarser scale. Conforming to the common practice in structural analysis, the macroscale, or structural scale, level will be modeled using a finite element representation.

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

15 SBIR/STTR records share this UEI (1994–2025). Reported award amounts total $6,080,727. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, 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.