Stochastic Reliability Metrics for Damage Characterization Based on Parametric and Voxel-Based Estimation Algorithms

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-11-M-5180
Agency Tracking Number: F112-130-1399
Amount: $149,987.00
Phase: Phase I
Program: SBIR
Awards Year: 2011
Solitcitation Year: 2011
Solitcitation Topic Code: AF112-130
Solitcitation Number: 2011.2
Small Business Information
Victor Technologies, LLC
P.O. Box 7706, Bloomington, IN, -
Duns: 074529467
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Harold Sabbagh
 President
 (812) 339-8273
 has@sabbagh.com
Business Contact
 Harold Sabbagh
Title: President
Phone: (812) 339-8273
Email: has@sabbagh.com
Research Institution
 Stub
Abstract
ABSTRACT: To achieve the objectives of condition-based maintenance plus prognosis (CBM+), and realize its potential, the location and size of damage at any length scale, e.g., either a crack or a microstructural perturbation, needs to be determined with statistical metrics to feed prognostic reasoners and risk assessments. Previous work by Victor Technologies has focused on developing estimation-theoretic metrics for model-based inversion algorithms in eddy-current NDE. In this research effort, we will develop and demonstrate a general statistical theory of uncertainty propagation with appropriate metrics, and apply the results to more challenging three-dimensional problems, including those in which sizing and location of flaws are required, as well as materials characterization. This will pave the way for a validation study using benchmark data during Phase II. BENEFIT: The technology that we develop in this proposal will be applicable to the aerospace, nuclear power, materials characterization and many other industries, so our research will have commercial benefits that extend far beyond military applications.

* information listed above is at the time of submission.

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