DocumentCode
2029444
Title
Statistical Fatigue and Residual Strength Analysis of New/Aging Aircraft Structure
Author
Fawaz, Scott ; Andersson, Börje
Author_Institution
US Air Force Acad., Colorado Springs, CO
fYear
2006
fDate
26-29 June 2006
Firstpage
13
Lastpage
22
Abstract
The structural integrity of both military and civilian transport aircraft fleets is governed by Department of Defense and Federal Aviation Administration regulations, respectively, dictating use of fracture mechanics techniques to determine the durability and damage tolerance of the aircraft structure. Driven by economic pressures, both fighter and transport aircraft are remaining in service longer than their original design lifetimes. Maintaining mission readiness and ensuring the safety of the flying public is of utmost concern and the responsibility of the aircraft manufacturers, aircraft operators, and airworthiness authorities. In general, a fracture mechanics based crack growth prediction model is just another tool in the designer and maintainer´s toolbox to safely and efficiently manufacture and operate the aircraft. Furthermore, state-of-the-art fatigue life prediction algorithms may only consider simple, well-behaved structural cracking problems. Unfortunately, all modern aircraft are complex assemblies with diverse materials and joining methods. As a result, mission planners and combat leaders are forced to maintain the old paradigm of over-conservative fatigue life predictions and find-it and fix-it corrosion control programs. As a result, the main outcome of our Challenge Project is better fleet management through more robust fatigue life predictions in both peace- and war-time
Keywords
aircraft maintenance; fatigue cracks; fracture mechanics; military aircraft; military computing; remaining life assessment; aircraft structure; fatigue life predictions; fleet management; residual strength analysis; statistical fatigue; structural integrity; Aging; Air safety; Aircraft manufacture; Economic forecasting; FAA; Fatigue; Military aircraft; Prediction algorithms; Predictive models; Virtual manufacturing;
fLanguage
English
Publisher
ieee
Conference_Titel
HPCMP Users Group Conference, 2006
Conference_Location
Denver, CO
Print_ISBN
0-7695-2797-3
Type
conf
DOI
10.1109/HPCMP-UGC.2006.66
Filename
4134028
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