3-D nondestructive imaging techniques for mesoscale damage analysis of composite materials

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$750,000.00
Award Year:
2014
Program:
STTR
Phase:
Phase II
Contract:
FA8651-14-C-0045
Award Id:
n/a
Agency Tracking Number:
F11B-T04-0005
Solicitation Year:
2011
Solicitation Topic Code:
AF11-BT04
Solicitation Number:
2011.B
Small Business Information
280 Park Ave South, Apt 22M, New York, NY, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
132023982
Principal Investigator:
Zheng Yuan
Chief Technological Officer
(518) 496-0173
info@multiscale.biz
Business Contact:
Jacob Fish
President
(518) 496-0173
jf@multiscale.biz
Research Institute:
University of Notre Dame
Karel Matous
367 Fitzpatrick Hall of Engine
Notre Dame, IN, 46556-6556
(574) 631-1376
Nonprofit college or university
Abstract
ABSTRACT: An experimental and computational effort is proposed to develop a data-driven experimentally-validated framework for analysis of plastically bonded energetic materials at meso and micro scales. A unique data-mining strategy and model reduction technology based on thermodynamics and manifold learning techniques and on nonlocal dispersive reduced order model will be devised. Reduced order methods will capture the particle-matrix decohesion, matrix tearing, and nonlinear viscoelastic behavior of a binder using constitutive laws calibrated at the mesoscale from the micro-CT experiments and digital database created by computational homogenization method. Novel microtomography based experimental protocols for multiscale model validation will be developed as well. The detailed understanding gained through these co-designed simulations and experiments will have a profound impact on the development of new continuum constitutive theories and design of novel energetic materials. BENEFIT: Demolition, mining, seismic prospecting, geographical mapping, explosive welding, detonating cord (cased or bare) and prospecting rely on energetic materials, such as high explosives, for successful work. Plastically bonded explosives (PBE) consist of particulate solid high explosives embedded in a polymer matrix. As such, they rely on weak forces for adhesion between the explosive particles and binder material, which are highly influenced by the morphology of the microstructure. In order to predict the performance of these PBEs it is necessary to resolve their microstructural behavior with sufficient detail. The vast majority of multiscale constitutive models today are based on low-order statistics, e.g., volume fractions. Therefore, image-based modeling we propose offers a clear and compelling advantage. In contrast to much of the existing work on analysis of PBEs, the proposed work will capture the underlying physics at the meso and micro scales, and ultimately, will result in safer and more effective explosives.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government