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Thick Composite Crack Analysis

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-15-C-0043
Agency Tracking Number: N132-101-0754
Amount: $1,049,494.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N132-101
Solicitation Number: 2013.2
Timeline
Solicitation Year: 2013
Award Year: 2015
Award Start Date (Proposal Award Date): 2014-10-23
Award End Date (Contract End Date): 2020-05-30
Small Business Information
2845 E. 2nd Street
Tucson, AZ 85716
United States
DUNS: 627888675
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Ali Boufelfel
 Senior Scientist, VP
 (520) 499-2791
 boufelfel@gertechnologies.com
Business Contact
 Ibrahim Guven
Title: Senior Scientist, VP
Phone: (520) 261-1426
Email: iguven@gertechnologies.com
Research Institution
N/A
Abstract

Advanced thick composites are increasingly used in components for defense applications as well as commercial structures. The proposed project will lead to the development and commercialization of a validated predictive capability based on the Peridynamic (PD) theory to enhance the performance of thick composite components under complex loading conditions while exposed to harsh environments. The proposed capability will specifically improve damage prediction and growth in thick composite parts for improving design and life predictions in rotary wing applications. It will include the effect of random material properties, imperfections, multiple-load paths (cyclic loading) and temperature and moisture diffusion on residual strength of composite structures. Damage is inherently calculated in a PD analysis without special procedures, making progressive failure analysis more practical. This results in a more efficient and cost effective design that meets reliability goals. The proposed approach will also minimize the number of coupon level tests used in the material qualification through PD simulations (virtual tests) validated against empirical data (measurement). Such techniques will advance our ability to predict material behavior and enable affordable qualification of composite materials for structural applications.

* Information listed above is at the time of submission. *

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