An Integrated Physics-Based Framework for Detecting Precursor to Damage in Naval Structures

Award Information
Agency:
Department of Defense
Branch:
Navy
Amount:
$69,837.00
Award Year:
2010
Program:
STTR
Phase:
Phase I
Contract:
N00014-10-M-0312
Agency Tracking Number:
N10A-042-0343
Solicitation Year:
2010
Solicitation Topic Code:
N10A-T042
Solicitation Number:
2010.A
Small Business Information
Los Gatos Research
67 East Evelyn Ave., Suite 3, Mountain View, CA, 94041
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
928805761
Principal Investigator
 An-Dien Nguyen
 senior physicist
 (650) 965-7772
 a.d.nguyen@lgrinc.com
Business Contact
 Anthony O'Keefe
Title: CEO
Phone: (650) 965-7772
Email: a.okeefe@lgrinc.com
Research Institution
 Arizona State University
 Professor Aditi Chattopadhyay
 ARIZONA STATE UNIVERSITY
Tempe, AZ, 85287
 (480) 965-9342
 Nonprofit college or university
Abstract
Aging aircraft commonly suffers from several types of degradation including fatigue cracking and lack of bonding. It is virtually impossible to predict degradation in structural performance or when a component or structure will fail due to the inability to test new material systems under all loading conditions and under all environmental conditions. A material state awareness system using minimalistic, powerful, distributed network of sensors and actuators needs to be developed to provide precise material state condition specification before any visual sign of damage develops. In this proposal, we propose to develop a quantitative structural health monitoring system based on a fiber-optic strain and Lamb waves interrogation technique combined with a multiscale modeling algorithm to predict damage precursor and perform crack detection and monitoring in aircraft and shipboard components with high accuracy and high sensitivity. During the Phase I and Phase I Option periods of this project, we will demonstrate the feasibility of developing a compact optical fiber-based structural health monitoring system combined with an integrated physics-based framework for detecting precursor to damage in Naval structures.

* information listed above is at the time of submission.

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