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Robust, Real Time, Full Field Strain Monitoring Over Large Areas

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-09-C-0347
Agency Tracking Number: N09A-010-0408
Amount: $69,976.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N09-T010
Solicitation Number: 2009.A
Timeline
Solicitation Year: 2009
Award Year: 2009
Award Start Date (Proposal Award Date): 2009-07-16
Award End Date (Contract End Date): 2010-02-16
Small Business Information
2780 Skypark Drive Suite 400
Torrance, CA 90505
United States
DUNS: 106823607
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Scott Bland
 Principal Investigator
 (434) 766-6680
 sbland@nextgenaero.com
Business Contact
 Zoltan Feher
Title: Manager, Contracts and Pricing
Phone: (310) 626-8384
Email: zfeher@nextgenaero.com
Research Institution
 Virginia Tech
 Linda B Bucy
 
1880 Pratt Drive, Suite 2006
Blacksburg, VA 24060-
United States

 (540) 231-5281
 Nonprofit College or University
Abstract

Development and experimental validation of advanced composite structures is based on a building block approach which requires many tests to validate performance. These tests are time consuming and expensive, which can delay or even prevent the use of advanced composite structures in novel vehicle and aircraft designs. NextGen Aeronautics in collaboration with Virginia Tech are proposing to develop a robust, real time, full field strain monitoring system which will dramatically improve the data acquisition process during experimental validation of advanced composite structures. The proposed system will utilize off-the-shelf optical camera technology, advanced image and data processing algorithms, and stochastic material characterization methods to create a cost effective and robust real time full field strain monitoring system. We will improve and optimize algorithms that have been developed previously by Dr. Furukawa at the Virginia Tech for stochastic characterization of structures using full field strain data. The proposed approach will allow monitoring of strain in critical regions in real time and modification of the data acquisition parameters during the test to maximize data capture. The stochastic material characterization algorithms will allow fast and reliable correlation of the test data with linear and nonlinear analysis tools. The objective of the Phase I program is to develop and demonstrate the feasibility of the proposed approach. In order to achieve this goal, the proposed algorithms will be experimentally tested on a composite specimen and a breadboard level prototype of the optical camera system will be developed. We will achieve a TRL of 3 in Phase I and subsequent technology transition to a TRL of 5 in Phase II. NextGen’s strength lies in related prior work and an established history transferring R&D efforts into higher technology readiness levels (TRLs) for integration onto military platforms.

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

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