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Predicting Flight by Flight Fatigue Crack Growth Rates

Authors: J. P. Gallagher; H. D. Stalnaker;

Predicting Flight by Flight Fatigue Crack Growth Rates

Abstract

Several crack growth prediction approaches are examined for their ability to predict both the magnitude and trend of fatigue crack growth rate data generated under transport wing flight simulation loading. Three cycle-bycycle accounting approaches, one with no load interaction and two which incorporate high-to-low load interaction, are studied. Two stress-stress intensity factor characterization approaches are also examined. These two characterization approaches isolate principal variables from the input stress spectrum and then utilize the no-load interaction, cycle-by-cycle approach to obtain estimates of crack growth rates. The results indicate that load interaction cycle-by-cycle accounting procedures lead to more accurate crack growth predictions principally because they incorporate the influence of the high-to-low load interaction phenemonon. a da/dN da/dF C, p F KR Kth N NF N50 R S

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Average
Top 10%
Average
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