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Enhancing Damage Tolerance Analysis with Method-Specific Probability of Detection Data Cover

Enhancing Damage Tolerance Analysis with Method-Specific Probability of Detection Data

Fatigue of Aircraft Structures
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By: ,  ,  ,   and    
Open Access
|Jun 2026
Authors

Authors

Scott A. Fohrman

sfohrman@crimson.ua.edu

Aerospace Engineering and Mechanics, The University of Alabama, Tuscaloosa, Alabama

Narendra Kumar Gadwal

Aerospace Engineering and Mechanics, The University of Alabama, Tuscaloosa, Alabama

Mark E. Barkey

Aerospace Engineering and Mechanics, The University of Alabama, Tuscaloosa, Alabama

Marcus Perry

Information Systems, Statistics, & Management Science, The University of Alabama, Tuscaloosa, Alabama

Easir Arafat Papon

Aerospace Engineering and Mechanics, The University of Alabama, Tuscaloosa, Alabama
DOI: https://doi.org/10.2478/fas-2025-0004 | Journal eISSN: 2300-7591
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Language: English
Submitted on: Apr 3, 2026
Accepted on: May 4, 2026
Published on: Jun 4, 2026
Published by: ŁUKASIEWICZ RESEARCH NETWORK – INSTITUTE OF AVIATION
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Aerospace Engineering,
Damage Tolerance Analysis,
Probability of Detection,
Nondestructive Inspection,
Crack Growth Prediction,
Aircraft Structural Integrity,
Inspection Optimization.
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2026 Scott A. Fohrman, Narendra Kumar Gadwal, Mark E. Barkey, Marcus Perry, Easir Arafat Papon, published by ŁUKASIEWICZ RESEARCH NETWORK – INSTITUTE OF AVIATION
This work is licensed under the Creative Commons Attribution 4.0 License.

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